Internet DRAFT - draft-jilongwang-opsawg-cyberresource-measurement

draft-jilongwang-opsawg-cyberresource-measurement







opsawg                                                    CJF. Chen, Ed.
Internet-Draft                                              SZ. Sun, Ed.
Intended status: Informational                               HD. He, Ed.
Expires: March 26, 2020                                      XR. Xu, Ed.
                                                                 CETC 30
                                                          WJL. Wang, Ed.
                                                     Tsinghua University
                                                      September 23, 2019


                    Cyberspace Resources Measurement
          draft-jilongwang-opsawg-cyberresource-measurement-00

Abstract

   This memo describes the measurement of cyberspace resource; it adopts
   a multi-level hierarchical indicator system, which focuses on the
   unified calculation of the measurement weigh of cyberspace resources.
   The goal of this draft is to discuss the basic principles and the
   methodology of measurement standards.  Additionally, demonstrating
   how the cyberspace resources can be measured based on the existing
   economy information measurement, geographic information measurement
   and statistical theory.

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

   Internet-Drafts are working documents of the Internet Engineering
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   This Internet-Draft will expire on March 26, 2020.

Copyright Notice

   Copyright (c) 2019 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
   Provisions Relating to IETF Documents



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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
   2.  Terminology and Definition  . . . . . . . . . . . . . . . . .   4
     2.1.  Terminology and Definition  . . . . . . . . . . . . . . .   4
     2.2.  Symbols and abbreviations . . . . . . . . . . . . . . . .   6
   3.  Basic principles of Measurement Standards . . . . . . . . . .   6
     3.1.  Rationality principle . . . . . . . . . . . . . . . . . .   7
     3.2.  Applicability principle . . . . . . . . . . . . . . . . .   7
     3.3.  Scalability principle . . . . . . . . . . . . . . . . . .   8
     3.4.  Comparability  principle  . . . . . . . . . . . . . . . .   8
   4.  Cyberspace resources measurement indicators and methods . . .   8
     4.1.  Measurement index system  . . . . . . . . . . . . . . . .   9
     4.2.  Measurement method  . . . . . . . . . . . . . . . . . . .   9
   5.  Measurement of Physical Cyberspace Resources for Network
       Resources . . . . . . . . . . . . . . . . . . . . . . . . . .  11
     5.1.  Physical information measurement  . . . . . . . . . . . .  11
       5.1.1.  Geographic Information Measurement  . . . . . . . . .  12
       5.1.2.  Organization Measurement  . . . . . . . . . . . . . .  13
       5.1.3.  Device information measurement  . . . . . . . . . . .  14
     5.2.  Topology Measurement  . . . . . . . . . . . . . . . . . .  17
       5.2.1.  General Measurement . . . . . . . . . . . . . . . . .  17
       5.2.2.  AS Topology Measurement . . . . . . . . . . . . . . .  19
       5.2.3.  Router Topology Measurement . . . . . . . . . . . . .  21
       5.2.4.  IP Topology Measurement . . . . . . . . . . . . . . .  22
     5.3.  Node Measurement  . . . . . . . . . . . . . . . . . . . .  23
       5.3.1.  General Measurement . . . . . . . . . . . . . . . . .  23
       5.3.2.  Node performance measurement  . . . . . . . . . . . .  25
     5.4.  Internet Service Measurement  . . . . . . . . . . . . . .  27
       5.4.1.  General Measurement . . . . . . . . . . . . . . . . .  28
       5.4.2.  P2P Service Measurement . . . . . . . . . . . . . . .  29
       5.4.3.  P2P Service Measurement . . . . . . . . . . . . . . .  30
       5.4.4.  FTP Service Measurement . . . . . . . . . . . . . . .  31
       5.4.5.  VPN Service Measurement . . . . . . . . . . . . . . .  32
     5.5.  Security Measurement  . . . . . . . . . . . . . . . . . .  33
       5.5.1.  Encryption Measurement  . . . . . . . . . . . . . . .  34
       5.5.2.  Authentication Measurement  . . . . . . . . . . . . .  35
       5.5.3.  Patch Measurement . . . . . . . . . . . . . . . . . .  36
       5.5.4.  Vulnerability Measurement . . . . . . . . . . . . . .  38
       5.5.5.  Host Security Measurement . . . . . . . . . . . . . .  40



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     5.6.  Transmission Measurement  . . . . . . . . . . . . . . . .  41
       5.6.1.  Information Measurement . . . . . . . . . . . . . . .  42
       5.6.2.  Wireless Measurement  . . . . . . . . . . . . . . . .  42
   6.  Measurement of Virtual Cyberspace Resources . . . . . . . . .  45
     6.1.  Virtual Subject Measurement . . . . . . . . . . . . . . .  45
       6.1.1.  Account Measurement . . . . . . . . . . . . . . . . .  45
         6.1.1.1.  Email Address . . . . . . . . . . . . . . . . . .  45
         6.1.1.2.  Social Account  . . . . . . . . . . . . . . . . .  47
         6.1.1.3.  Shopping Account  . . . . . . . . . . . . . . . .  49
         6.1.1.4.  Game Account  . . . . . . . . . . . . . . . . . .  51
         6.1.1.5.  Cloud Account . . . . . . . . . . . . . . . . . .  54
         6.1.1.6.  Financial Account . . . . . . . . . . . . . . . .  55
       6.1.2.  General Measurement . . . . . . . . . . . . . . . . .  57
       6.1.3.  Group Measurement . . . . . . . . . . . . . . . . . .  60
     6.2.  Mapping Entity Measurement  . . . . . . . . . . . . . . .  61
       6.2.1.  General Measurement . . . . . . . . . . . . . . . . .  62
       6.2.2.  Group Measurement . . . . . . . . . . . . . . . . . .  65
   7.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  66
   8.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  66
   9.  Security Considerations . . . . . . . . . . . . . . . . . . .  66
   10. Normative References  . . . . . . . . . . . . . . . . . . . .  67
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  67

1.  Introduction

   Cyberspace resources are the sum of various elements in cyberspace,
   such as medium, information and subject, covering not only the
   Internet infrastructure physical resources such as communication
   infrastructure, IP network, overlay network, application support
   system, but also the virtual resources such as information content
   and users hosted on physical facilities.

   Cyberspace mapping, in accordance with certain methods, techniques
   and standards, uses software or hardware tools to recognize the
   compositions, behaviors and development rules of cyberspace by
   testing multiple indicators characterizing the state, attributes and
   relationships of various layers of cyberspace.  The range of mapping
   could be local or global in cyberspace.  The objects to be measured
   include the composition, structure, attributes, behaviors,
   characteristics, rules and trends of cyberspace.  The information
   obtained by measurement is a kind of typical big data, enjoying the
   characteristics of diverse content formats, complex structures and
   rapid updating, thus brings great difficulty to the understanding,
   interaction and communication of mapping information.  Meanwhile,
   there are many existing measurement methods, and each has its own
   advantages and disadvantages.  Therefore, the measurement methods
   must be selected and combined in measuring cyberspace resources, and




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   the principles of rationality, practicability, scalability and
   comparability should be followed during the method selection.

   Rationality refers to whether the selected method could objectively
   measure the effect of cyberspace resources measurement, whether it
   could cover all aspects of cyberspace resources, and whether it could
   highlight the characteristics and focus of cyberspace measurement.
   Applicability requires consideration of data source and development
   situation of the measurement object itself during measurement methods
   selection.  Scalability refers to the development and variability of
   measurement methods, embodied in two aspects, i.e., the scalability
   of index system and the scalability of indexes used in measurement.
   Comparability refers to the method could be used to measure different
   cyberspace resources and mapping results in different periods.  The
   establishment of measurement index system is the first priority in
   cyberspace resources measurement.  Based on the existing information
   economy measurement, geographic information measurement and
   statistical theory and methods, a three-level measurement index
   system is developed in the draft in combination of the principles and
   mechanisms research of cyberspace resources mapping, as well as the
   research on cyberspace resources measurement methods.  Domain expert
   knowledge and original information are comprehensively considered to
   calculate and determine the weighting factors of measurement
   indicators in the draft.

   Originated from satisfying the basic requirements of cyberspace
   resources mapping, this draft standard adopts a multi-level
   hierarchical index system, and focuses on the unified regulations of
   calculating measurement weights of cyberspace resources.

2.  Terminology and Definition

2.1.  Terminology and Definition

   The following terms and definitions apply to this document.

   Cyberspace

   Cyberspace is a combination of virtual and physical space where human
   beings use information facilities to construct, realize information
   interaction, and then influence human thoughts and behaviors.  It
   relies on the carriers of information and communication technology
   infrastructure such as the Internet, telecommunication network and
   various control systems and devices.

   Cyberspace resource





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   Cyberspace resources refer to the entities that could be detected and
   perceived though cyberspace means, including resources on various
   types of networks such as the Internet, telecommunication network and
   industrial control network.  Specifically, cyberspace resources
   include physical devices such as network infrastructure and network
   access, information resources and network services such as audio,
   video, websites and text data, and network avatars and IP-based
   various telecommunication network devices and industrial control
   systems.

   Entity

   Entities are interdependent networks of information technology
   infrastructure, including computers, communication network systems,
   information systems, embedded processors, controllers, and the data
   held therein.

   Virtual entity

   Virtual entities are virtual resources that cover information content
   and users carried on network entity, including various types of
   network accounts.

   Mapping entity

   By designing an effective positioning algorithm and association
   analysis method, the virtual entity resource is mapped to the social
   space, that is, the subject behind the virtual entity is the
   corresponding mapping entity.

   Cyberspace resource measurement

   The cyberspace resource measurement refers to the quantitative
   calculation of the detectable attributes of cyberspace resources
   under a certain scale.

   Measure space

   The attribute set of the resource t_p is X, A represents the complete
   set of resource t_p , and S represents the measure of resource t_p.
   The triple (X, A, S) is the measure space of cyberspace resource t_p.

   Indicator

   The indicator is a concept that describes the characteristics of
   cyberspace resources.  It embodies the quality and quantity
   prescriptiveness of substance.




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   Indicator system

   Indicator system refers to the organism composed of several
   interconnected statistical indicators, which is the premise and basis
   for conducting prediction or evaluation research.  It decomposes the
   abstract research object into behavioral, operational structure
   according to sign of its essential attributes and characteristics,
   and the process of assigning weights to each of the constituent
   elements (ie, indicators) in the indicator system.

   Weight

   In the field of mathematics, weight refers to the frequency of each
   of the weighted averages, also known as weight number or weight
   function.  In the measurement of cyberspace resources, weight
   represents the importance of cyberspace measurement indicators.

   Information entropy

   In information theory, entropy is the average of the information
   contained in each received message, also known as information
   entropy, source entropy, and average self-information.  Information
   entropy could be understood as a measure of uncertainty, the larger
   value of entropy, the more random distribution of sources.  In the
   measurement of cyberspace resources, information entropy could be
   used to describe the uncertainty of resource attributes in network
   measurements.

2.2.  Symbols and abbreviations

   RDF Resource Description Framework

   RDFS Resource Description Framework Schema

   URI Uniform Resource Identifier

   VPN Virtual Private Network

   HTTP HyperText Transfer Protocol

   FTP File Transfer Protocol

3.  Basic principles of Measurement Standards

   There are many existing measurement methods, and each has its own
   advantages and disadvantages.  Therefore, the measurement methods
   must be selected and combined in measuring cyberspace resources.
   Certain principles should be followed during the measurement methods



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   selection, and according to this standard, the following principles
   should be followed.

3.1.  Rationality principle

   If a measurement method could be widely used and developed, its
   scientific nature must be recognized, and it has been tested by
   predecessors.  This standard merely selects and combines among many
   measurement methods, and gives a measurement method suitable for
   cyberspace resources.  Therefore, the scientific nature of the
   selected measurement method could be ignored.  Different measurement
   objects are suitable for different measurement methods, thus the
   rationality of the measurement method is an important principle that
   must be considered.  The so-called rationality here refers to whether
   the selected method could objectively measure the effect of
   cyberspace resources measurement, whether it could cover all aspects
   of cyberspace resources, and whether it could highlight the
   characteristics and focus of cyberspace measurement.

3.2.  Applicability principle

   Although the measurement effect of cyberspace resources belongs to
   the category of measurement metrics, it also has its particularity.
   First, it is a measurement of the macro category.  This makes the
   source of the measurement data must be of recognized or officially
   recognized statistics.  Secondly, the effectiveness measurement of
   cyberspace resources measurement is still in the exploratory stage.
   Currently a lot of data is not available, some data could merely be
   partially obtained, and some data could not be guaranteed to be
   correct.  Therefore, the data source should be taken into
   consideration, and choose the applicable measurement method.
   Applicability principle requires that the choice of the measurement
   method should consider the data source and the development of the
   measurement object itself.  Applicability requires consideration of
   data source and development situation of the measurement object
   itself during measurement methods selection.

   Some methods seem to be rigorous, but lacking operability in use.
   Some indicator systems are very complex and involve all aspects, but
   could not be implemented because of lacking data.  Importantly, due
   to the universal connection between things, some aspects of data may
   have the same revealing effect as the data in other aspects.  If the
   indicator system is too complicated and the data source is too
   excessive, it will cover up the essence and is not conducive to
   measurement.  Therefore, the indicator system should not be
   complicated, the design of the indicator system should consider the
   relationship between the indicators, and the formulation of the
   indicator items should consider the availability of data.



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3.3.  Scalability principle

   Scalability refers to the development and variability of measurement
   method.  In effectiveness measurement of cyberspace, scalability is
   embodied in two aspects.  One is the scalability of the indicator
   system.  The development of cyberspace mapping should be considered,
   and in the early stage of effectiveness measurement of cyberspace
   resources, the indicator system could be relatively rough, reflecting
   the main aspects of cyberspace measurement.  The second is the
   scalability of the indicators used in the measurement.  The designed
   indicator system might be relatively complete.  However, in the
   implementation process, the indicators with strong operability could
   be selected for investigation and measurement, and indicators could
   be gradually expanded when the data is available.  This principle is
   also in line with the proposed cyberspace resource measurement life
   cycle theory.  Step by step, increase the dimensions and items of the
   measure.  The organic combination of various methods in the practical
   measurement process is not simply using a certain method, but
   integrating the applicable various methods to form a new method
   system.

3.4.  Comparability principle

   The measurement is a global and holistic measurement of the object
   system described by the multi-attribute architecture.  According to
   the characteristics of a complex system affected by multi-factors
   simultaneously, when considering the relevant factors
   comprehensively, the complex system is based on multiple relevant
   indicators.  Measurement results need to be compared, and there are
   comparisons between different mapping methods, and comparisons of
   different periods and different regions of a certain measurement
   method.  The purpose of comparison is to better understand the
   cyberspace resources, analyze their advantages and disadvantages, and
   then develop countermeasures for cyberspace mapping.  To achieve the
   goal of comparison, measurement methods must be of universality and
   standardization characteristics, which can be used to measure
   different cyberspace resources and mapping results in different
   periods.

4.  Cyberspace resources measurement indicators and methods

   According to the state, structure and behavior characteristics of
   resources in different levels of cyberspace, this draft divides the
   measurement of cyberspace resources into two categories: entity
   resources measurement and virtual resources measurement, which are
   respectively used to measure the dominant and partially recessive
   characteristics of resources at different levels.




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4.1.  Measurement index system

   The establishment of measurement index system is the first priority
   in cyberspace resources measurement.  This draft, based on the
   existing information economy measurement, geographic information
   measurement and statistical theory and methods, combines the
   principles of and mechanisms research of cyberspace resources
   mapping, as well as the research on cyberspace resources measurement
   methods.

   There are 26 indicators in the third level, wherein the physical
   information measurement including geographic information measurement,
   affiliated measurement, and device information measurement;
   topological measurement including topological common measurement,
   autonomous domain topology measurement, router topology measurement,
   IP level topology measurement; node measurement including node common
   measurement and performance measurement; network service measurement
   including service common measurement, P2P measurement, HTTP
   measurement, FTP measurement, VPN measurement; security measurement
   including encryption measurement, authentication measurement, patch
   measurement, vulnerability measurement, host security measurement;
   transmission measurement including information measurement and
   wireless measurement; the virtual subject measurement including
   account measurement, common measurement, and group measurement; and
   the projected entity measurement including common measurement and
   group measurement.

   The resource measurement index of each leaf level is composed by
   measurement index name, measurement data type, measurement value
   domain, normalized measurement value, and subjective index weight
   value, and the resource measurement index of the non-leaf level is
   composed by measurement index name, measurement mathematical symbol,
   measurement and subjective measurement weight.

4.2.  Measurement method

   Measurement is quantitative calculation of an attribute under certain
   scale.

   The scale is determined by people's experience in observing objective
   things, and it is not absolutely invariable.  So, in order to
   determine the measurement, the scale should be specified first.
   Comprehensive measurement is a global and holistic measurement of the
   object system described by multi-attribute architecture.  That is,
   according to the characteristic that a complex system is affected by
   multi-factors simultaneously, when considering the relevant factors
   comprehensively, the complex system is based on multiple relevant
   indicators.



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   From a mathematical point of view, measurement theory is a branch of
   real analysis.  The research object includes algebra, measurement,
   measurable function and integral.  It assigns a number to some subset
   of a given set, and this number could be compared to size, volume,
   probability, etc.  This draft gives a mathematical definition of
   measurement in order to derive the measurement definition of
   cyberspace resources.

   The measure (the positive measure that can be added) is a function.
   The element set is a sub-set of X, and is a algebra.  The measure is
   defined on A, takes a range of values zero to infinity.

   The measurement of empty set is zero.

   Such triples (X, A, S) are called a measurement space, and elements
   in A are called measurable sets in this space.  The draft gives a
   definition of measurement S of cyberspace resources based on the
   mathematical definition of measurement.  Define cyberspace as T,
   there is a certain network resource t_p belongs to T, then the
   attribute set of the resource t_p is X.  The n-th measurement results
   of the resource t_p are defined as A={a_1,a_2...}, and a certain
   detection result is a_i belongs to A, and S is a measurement of
   cyberspace resource t_p.  Therefore, the measurement space of
   cyberspace resource t_p is (X, A, S).

   The detection result set a_i of the resource t_p includes j
   measurement index attributes, wherein the measurement index
   attributes are divided into two categories: numerical type and symbol
   type.  Since the dimensions, magnitude, and index of each indicator
   have different positive and negative orientations, the initial data
   needs to be normalized.

   In summary, the value of the normalized index m_ji is [0, 1].  Since
   the measurement indicators of cyberspace resources are of different
   significance, some indicators could well represent the resource, but
   some indicators are not characteristic attributes of the resource.
   It is necessary to evaluate the importance of the measurement index,
   and the importance of the indicator is the measurement weight W.

   The methods for determining the weight of indicators mainly include
   subjective weighting method and objective weighting method.  The
   subjective weighting method is a kind of method that determines the
   weight according to the evaluator's subjective importance to each
   index.  The original weighting method based on the objective
   weighting method comes from the objective environment, and it is
   based on the amount of information provided by each indicator and
   determines the weight of indicator.  According to the idea of
   information entropy, the amount of information and quality in the



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   decision-making is one of the determinants of the accuracy and
   reliability of decision-making.  It is generally believed that the
   higher the information entropy value, the more balanced the system
   structure, the smaller the difference, or the slower the change;
   conversely, the lower the information entropy, the more unbalanced
   the system structure, the greater the difference, or the faster the
   change.  Therefore, the weight could be calculated according to the
   magnitude of the entropy, that is, the variation degree of each index
   value.

   The calculation of the measurement weight W in this draft
   comprehensively considers subjective factors and objective factors.
   The weight W of the measurement index is equal to the subjective
   weighting (domain expert) multiplied by the objective weighting
   (information entropy) to determine the weighting coefficient of the
   measurement index.  Among them, the weights given by the domain
   experts represent the prior knowledge, and the weights given by the
   information entropy represent the objective measurement results.
   Therefore, the weight W of the measure is equal to:

   The calculation process of objective weighting W_o is given below.
   Assuming that the measurement indices are independent random
   variables, then the information entropy of the index is Shannon
   information theory.

   Obviously, the range of objective weighting is W_o belongs to [0,1],
   so the index weight W belongs to [0,1].  Then according to the index
   system layering, the level 3 measurement formula is sum up of W
   multiply by m.

   Obviously, the range of the measure S^k is S belongs to [0,1], and
   the calculation formula of the level 1 and level 2 is W multiply by
   S.

5.  Measurement of Physical Cyberspace Resources for Network Resources

5.1.  Physical information measurement

   1) Name: phy_measure

   2) Mathematical Symbol: S_p

   3) Measurement: S_p= summation(s*w)

   4) Subjective weight of indicator: W_p=0.1






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5.1.1.  Geographic Information Measurement

   1) Name: geo_measure

   2) Mathematical Symbol: S_pg

   3) Measurement: S_pg=summation(m*w)

   4) Subjective weight of indicator: W_pg=0.1

   Country

   Indicator name: geo_measure:country

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GB/T 2659-2000 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.02

   City

   Indicator name: geo_measure:city

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GB/T 2659-2000 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.08

   Street

   Indicator name: geo_measure:street

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GB/T 2659-2000 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Latitude




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   Indicator name: geo_measure: latitude

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GB/T 2659-2000 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

   Longitude

   Indicator name: geo_measure: longitude

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: GB/T 28589-2012 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

5.1.2.  Organization Measurement

   1) Name: org _ measure

   2) Mathematical Symbol: S_po

   3) Measurement: S_po=summation(m*w)

   4) Subjective weight of indicator: W_po=0.4

   Name

   Indicator name: org _ measure: name

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Institutions

   Indicator name: org _ measure: organization




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   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

   Working area

   Indicator name: org _ measure: zone

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

5.1.3.  Device information measurement

   1) Name: device _measure

   2) Mathematical Symbol: S_pd

   3) Measurement: S_pd=summation(m*w)

   4) Subjective weight of indicator: W_pd=0.5

   Manufacturer

   Indicator name: device_measure: manufacturer

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Model Code

   Indicator name: device_measure:entity_model

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Firmware version

   Indicator name: device_measure:firmware

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   LAN Interface

   Indicator name: device_measure: lan_interface

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   WAN Interface

   Indicator name: device_measure: wan_interface

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Management Interface

   Indicator name: device_measure: consoleinfo

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Ports

   Indicator name: device_measure: interface_num

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Interface Rate

   Indicator name: device_measure: interfacerate

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Link rate

   Indicator name: device_measure: linkrate

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Camera

   Indicator name: device_measure: camera

   1) Data type: Boolean(XMLSchema.BOOLEAN)




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   2) Measurement range: true, false

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   MAC address

   Indicator name: device_measure: MAC address

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: 48bit hex format

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

5.2.  Topology Measurement

   1) Name: topo_measure

   2) Mathematical Symbol: S_t

   3) Measurement: S_t=summation(s*w)

   4) Subjective weight of indicator: W_t=0.2

5.2.1.  General Measurement

   1) Name: topocommon_measure

   2) Mathematical Symbol: S_tc

   3) Measurement: S_tc=summation(m*w)

   4) Subjective weight of indicator: W_tc=0.1

   Topology

   Indicator name: topocommon_measure:structure

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Bus type, ring type, star type

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.1

   Node

   Indicator name: topocommon_measure:node

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Edge

   Indicator name: topocommon_measure:edge

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Center Degree

   Indicator name: topocommon_measure: centerdegree

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.15

   Node Degree

   Indicator name: topocommon_measure: nodedegree

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.15

   SubNets

   Indicator name: topocommon_measure: subnet_sum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Prefix

   Indicator name: topocommon_measure: subnet_prefix

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

5.2.2.  AS Topology Measurement

   1) Name: as_measure

   2) Mathematical Symbol: S_ta

   3) Measurement: S_ta=summation(m*w)

   4) Subjective weight of indicator: W_ta=0.3

   Name

   Indicator name: as_measure:name

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2




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   Number

   Indicator name: as_measure:num

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: 1~232

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Type

   Indicator name: as_measure:type

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Transit,Access,Enterpise,Content

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Organization

   Indicator name: as_measure: organization

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Cone_size

   Indicator name: as_measure:cone_size

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2




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5.2.3.  Router Topology Measurement

   1) Name: router_measure

   2) Mathematical Symbol: S_tr

   3) Measurement: S_tr=summation(m*w)

   4) Subjective weight of indicator: W_tr=0.3

   Name

   Indicator name: router_measure:name

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Number

   Indicator name: router_measure:num

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Level

   Indicator name: router _measure:level

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Access level, aggregation level, backbone level

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   AS Edge




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   Indicator name: router _measure: as_edge_flag

   1) Data type: Boolean(XMLSchema.BOOLEAN)

   2) Measurement range: true, false

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Country/Edge

   Indicator name: router _measure:country_edge_flag

   1) Data type: Boolean(XMLSchema.BOOLEAN)

   2) Measurement range: true, false

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

5.2.4.  IP Topology Measurement

   1) Name: ip_measure

   2) Mathematical Symbol: S_ti

   3) Measurement: S_ti=summation(m*w)

   4) Subjective weight of indicator: W_ti=0.3

   IP address

   Indicator name: ip_measure:ip

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IP address notation

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.5

   Prefix

   Indicator name: ip_measure:subnet_prefix




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   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IP address notation

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.5

5.3.  Node Measurement

   1) Name: node_measure

   2) Mathematical Symbol: S_n

   3) Measurement: S_n=summation(s*w)

   4) Subjective weight of indicator: W_n=0.2

5.3.1.  General Measurement

   1) Name: nodecommon_measure

   2) Mathematical Symbol: S_nc

   3) Measurement: S_nc=summation(m*w)

   4) Subjective weight of indicator: W_nc=0.5

   Operating system

   Indicator name: nodecommon_measure:os

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: windows,linux etc.,

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Username

   Indicator name: nodecommon_measure:user

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Password

   Indicator name: nodecommon_measure:structure

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Host Name

   Indicator name: nodecommon_measure:host

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Gateway Address

   Indicator name: nodecommon_measure:gateway

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IP address notation

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   DNS Address

   Indicator name: nodecommon_measure:dns

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IP address notation




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   DHCP Address

   Indicator name: nodecommon_measure:dhcp

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IP address notation

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

5.3.2.  Node performance measurement

   1) Name: nodeperformance_measure

   2) Mathematical Symbol: S_np

   3) Measurement: S_np=summation(m*w)

   4) Subjective weight of indicator: W_np=0.5

   Backplane Bandwidth

   Indicator name: nodeperformance _measure: backplane_bandwidth

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: Gbps

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.2

   Packet Forwarding Rate

   Indicator name: nodeperformance _measure: forward_rates

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required.

   3) Normalization: Normalize by maximum




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   4) Subjective weight of indicator: w=0.1

   Forwarding Delay

   Indicator name: nodeperformance _measure: forward_delay

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required.

   3) Normalization: Normalize by maximum, Reciprocal

   4) Subjective weight of indicator: w=0.1

   QoS Packet Forwarding Rate

   Indicator name: nodeperformance _measure: qosforward_rate

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required.

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Transmission Delay

   Indicator name: nodeperformance _measure: transfer_delay

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required.

   3) Normalization: Normalize by maximum, Reciprocal

   4) Subjective weight of indicator: w=0.1

   Maximum Connections

   Indicator name: nodeperformance _measure: connections_max

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0.

   3) Normalization: Normalize by maximum




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   4) Subjective weight of indicator: w=0.1

   Maximum Bandwith

   Indicator name: nodeperformance _measure: bandwidth_max

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0.

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Delay jitter

   Indicator name: nodeperformance _measure: tolerated_jitter

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required.

   3) Normalization: Normalize by maximum, Reciprocal

   4) Subjective weight of indicator: w=0.1

   Signal to Noise Ratio

   Indicator name: nodeperformance _measure: snr

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required.

   3) Normalization: Normalize by maximum

   4) Subjective weight of indicator: w=0.1

5.4.  Internet Service Measurement

   1) Name: service_measure

   2) Mathematical Symbol: S_s

   3) Measurement: S_s=summation(s*w)

   4) Subjective weight of indicator: W_s=0.2




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5.4.1.  General Measurement

   1) Name: servicecommon_measure

   2) Mathematical Symbol: S_sc

   3) Measurement: S_sc=summation(m*w)

   4) Subjective weight of indicator: W_s=0.2

   Domain

   Indicator name: servicecommon_measure:domain

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Service Type

   Indicator name: servicecommon_measure:type

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: ftp, http, p2p etc.,

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Service Address

   Indicator name: servicecommon_measure:address

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Port




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   Indicator name: servicecommon_measure:port

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: 1~216.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Banner Information

   Indicator name: servicecommon_measure:banner

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Transmission Protocol

   Indicator name: servicecommon_measure:protocol

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

5.4.2.  P2P Service Measurement

   1) Name: servicep2p_measure

   2) Mathematical Symbol: S_sp

   3) Measurement: S_sp=summation(m*w)

   4) Subjective weight of indicator: W_s=0.2

   DHT

   Indicator name: servicep2p_measure:dht




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   1) Data type: Boolean(XMLSchema.BOOLEAN)

   2) Measurement range: true, false

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.5

   AICH

   Indicator name: servicep2p_measure:aich

   1) Data type: Boolean(XMLSchema.BOOLEAN)

   2) Measurement range: true, false

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.5

5.4.3.  P2P Service Measurement

   1) Name: servicephttp_measure

   2) Mathematical Symbol: S_sh

   3) Measurement: S_sh=summation(m*w)

   4) Subjective weight of indicator: W_s=0.2

   Cookie

   Indicator name: servicehttp_measure:cookie

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0, Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Request Type

   Indicator name: servicehttp_measure:query_type

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: get,post,put,delete

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Response Format

   Indicator name: servicehttp_measure:reply_format

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: text/html;charset=UTF-8

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Expiration Time

   Indicator name: servicehttp_measure: expiration_time

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0.

   3) Normalization: m, Normalize by maximum, Reciprocal

   4) Subjective weight of indicator: w=0.2

   Keep Alive

   Indicator name: servicep2p_measure:keep_alive

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: keep-alive(default),close

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

5.4.4.  FTP Service Measurement

   1) Name: servicepftp_measure

   2) Mathematical Symbol: S_sf




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   3) Measurement: S_sf=summation(m*w)

   4) Subjective weight of indicator: W_s=0.2

   Module

   Indicator name: serviceftp_measure:mode

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Active, passive

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Root Directory

   Indicator name: serviceftp_measure: directory

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

   Read and write permissions

   Indicator name: serviceftp_measure: logi_rw

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: text/html;charset=UTF-8

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

5.4.5.  VPN Service Measurement

   1) Name: servicepvpn_measure

   2) Mathematical Symbol: S_sv

   3) Measurement: S_sv=summation(m*w)




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   4) Subjective weight of indicator: W_s=0.2

   GateWay

   Indicator name: servicevpn_measure:gateway

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Active, passive

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Intranet Service

   Indicator name: servicevpn_measure: intranet

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Extrant Service

   Indicator name: servicevpn_measure: extranet

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required.

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

5.5.  Security Measurement

   1) Name: secu_measure

   2) Mathematical Symbol: S_se

   3) Measurement: S_se=summation(s*w)

   4) Subjective weight of indicator: W_se=0.2




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5.5.1.  Encryption Measurement

   1) Name: encryption_measure

   2) Mathematical Symbol: S_in

   3) Measurement: S_in=summation(m*w)

   4) Subjective weight of indicator: W_in=0.1

   Encryption Algorithm

   Indicator name: encryption_measure:algorithm

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: DES, RSA, AES, IDEA, RC4/RC5

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

   Encryption Mechanism

   Indicator name: encryption_measure:mechanism

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Data transmission encryption mechanism

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Secret Key Length

   Indicator name: encryption_measure:keylength

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: 64, 128, 256, 512, 1024, 2048

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.3

   Secret Key Change Time




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   Indicator name: encryption_measure:keychangetime

   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.2

5.5.2.  Authentication Measurement

   1) Name: authen_measure

   2) Mathematical Symbol: S_au

   3) Measurement: S_au=summation(m*w)

   4) Subjective weight of indicator: W_au=0.2

   Authentication Mechanism

   Indicator name: authen_measure:mechanism

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Password, certificate, bio, mix

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Authentication Method

   Indicator name: authen _measure:method

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: One-way, two-way

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Authentication Requirement

   Indicator name: authen_measure:required




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   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: USBKey, digital certificate, trusted module

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Certification Type

   Indicator name: authen_measure:certificatetype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: X.509, LDAP

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Access Control Type

   Indicator name: authen_measure:accesscontroltype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: MAC, DAC, RBAC, ABAC, IBAC

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

5.5.3.  Patch Measurement

   1) Name: patch_measure

   2) Mathematical Symbol: S_pa

   3) Measurement: S_pa=summation(m*w)

   4) Subjective weight of indicator: W_pa=0.2

   Update Time

   Indicator name: patch_measure:updatetime

   1) Data type: Date(XMLSchema.DATETIME)




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   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Installation Time

   Indicator name: installation_measure:time

   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Installated Patch

   Indicator name: patch _measure:installated

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.3

   Not Installated Patch

   Indicator name: patch _measure:not-installated

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.5

   Source Address

   Indicator name: patch_measure:patchaddr

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: URL

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Update Mechanism

   Indicator name: patch_measure:method

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Subscribe, push, offline

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

5.5.4.  Vulnerability Measurement

   1) Name: vulner_measure

   2) Mathematical Symbol: S_vu

   3) Measurement: S_vu=summation(m*w)

   4) Subjective weight of measurement: W_vu=0.4

   Vulnerability Categorization

   Indicator name: vulner_measure:classifer

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Variable Override Command Execution Embedded
   Malicious Code Weak Password Denial Service Database Discovery File
   Upload Remote File Contains Local Overflow Permission Elevation
   Information Leak Login Logon Directory Traversal Parsing Error
   Override Access Cross-Site Script Path Leak Code Execute Remote
   Password Buffer Overflow XQuery Injection Buffer Over Read LDAP
   injection security mode bypasses backup files found XPath injection
   URL redirect code leaks released after reuse DNS hijacking error
   input validation generic cross-site scripting server side request
   forged cross-domain vulnerability error certificate verification
   etc,.

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.15

   ID

   Indicator name: vulner_measure:id

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: 16-bit vulnerability identifier

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Name

   Indicator name: vulner_measure:name

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: CVE,NVD

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Risk Level

   Indicator name: vulner_measure:level

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: High Medium Low Null

   3) Normalization: Free Risk, m=0; Low Risk, m=0.3; Medium Risk=0.5;
   High Risk, m=1

   4) Subjective weight of indicator: w=0.3

   Availability

   Indicator name: vulner_measure:availability

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: true, or false

   3) Normalization: Not available, m=0; Availability, m=1



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   4) Subjective weight of indicator: w=0.35

5.5.5.  Host Security Measurement

   1) Name: hostsecu_measure

   2) Mathematical Symbol: S_ho

   3) Measurement: S_ho=summation(m*w)

   4) Subjective weight of indicator: W_ho=0.1

   Policy Level

   Indicator name: hostsecu_measure:policylevel

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: High Medium Low

   3) Normalization: Low level, m=0.3; Medium level, m=0.5; High level,
   m=1

   4) Subjective weight of indicator: w=0.3

   Security Audit

   Indicator name: hostsecu_measure:audittype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Traffic, protocol, behavior

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Security Administration Port

   Indicator name: hostsecu_measure:adminport

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: 0-65535

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.5



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   Administration Type

   Indicator name: hostsecu_measure:admintype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Administration Method

   Indicator name: hostsecu_measure:adminmethod

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Peer-to-peer, cascade, autonomous

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Host monitoring

   Indicator name: hostsecu_measure:monitortype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Null, behavior, network, all

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

5.6.  Transmission Measurement

   1) Name: trans_measure

   2) Mathematical Symbol: S_tr

   3) Measurement: S_tr=summation(s*w)

   4) Subjective weight of indicator: W_tr=0.1






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5.6.1.  Information Measurement

   1) Name: info_measure

   2) Mathematical Symbol: S_in

   3) Measurement: S_in=summation(m*w)

   4) Subjective weight of indicator:W_in=0.2

   Signal coding

   Indicator name: info_measure:channelcoding

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: RS code, convolutional code, Turbo code,
   pseudo-random sequence code

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Information Entropy

   Indicator name: geo_measure:country

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: RS code, convolutional code, Turbo code,
   pseudo-random sequence code

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.8

5.6.2.  Wireless Measurement

   1) Name: wifi_measure

   2) Mathematical Symbol: S_wi

   3) Measurement: S_wi=summation(m*w)

   4) Subjective weight of indicator: W_wi=0.2

   Wireless Protocol




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   Indicator name: wifi_measure:protocol

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IEEE 802.11a,IEEE 802.11b,IEEE 802.11g and IEEE
   802.11e

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Transmission standard

   Indicator name: wifi_measure:transmissionstandard

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: IEEE 802.11a,IEEE 802.11b,IEEE 802.11g and IEEE
   802.11e

   3) Normalization: m=0, Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Working Frequency

   Indicator name: wifi_measure:frequencybands

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: , e.g., 900MHz, 2.4, 3.6, 6, 60GHz

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Modulation

   Indicator name: wifi_measure:modulation

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: BPSK, DQPSK, GFSK

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05




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   Wireless Transmission Rate

   Indicator name: wifi_measure:datarate

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.3

   Channel Bandwidth

   Indicator name: wifi_measure:channelbandwidth

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: 20MHz, 40MHz

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Network Standard

   Indicator name: wifi_measure:channelaccessmethod

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GSM,CDMA,3G,4G

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Frame Rate

   Indicator name: wifi_measure:channelaccessmethod

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.2




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   Delay Expansion

   Indicator name: wifi_measure:delayexpansion

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

6.  Measurement of Virtual Cyberspace Resources

6.1.  Virtual Subject Measurement

   1) Name: virtual_measure

   2) Mathematical Symbol: S_vi

   3) Measurement: S_vi=summation(s*w)

   4) Subjective weight of indicator:W_vi=0.1

6.1.1.  Account Measurement

   1) Name: account_measure

   2) Mathematical Symbol: S_ac

   3) Measurement: S_ac=summation(s*w)

   4) Subjective weight of indicator: W_ac=0.45

6.1.1.1.  Email Address

   1) Name: email_measure

   2) Mathematical Symbol: S_em

   3) Measurement: S_em=summation(s*w)

   4) Subjective weight of indicator: W_em=0.2

   Contacts

   Indicator name: email_measure:contact




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   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.4

   Inbox

   Indicator name: email_measure:receivenum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.2

   Sent

   Indicator name: email_measure:sendnum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.2

   Sent Time

   Indicator name: email_measure:sendtime

   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Received Time

   Indicator name: email_measure:receivetime




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   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

6.1.1.2.  Social Account

   1) Name: weibo_measure

   2) Mathematical Symbol: S_we

   3) Measurement: S_we=summation(s*w)

   4) Subjective weight of indicator: W_we=0.2

   Tweets

   Indicator name: weibo_measure:num

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Original Tweets

   Indicator name: weibo_measure:original

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Percentage

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Following

   Indicator name: weibo_measure:concerns

   1) Data type: Integer(XMLSchema.INT)




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   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Follower

   Indicator name: weibo_measure:fans

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Text Preference

   Indicator name: weibo_measure: textpreference

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Chinese, English, Tibetan, Muslim, and Uighur

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Activity

   Indicator name: weibo_measure:dynamicnum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Comments

   Indicator name: weibo_measure:comment

   1) Data type: Integer(XMLSchema.INT)




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   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Likes

   Indicator name: weibo_measure:praisenum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Repost

   Indicator name: weibo_measure:forwardnum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

6.1.1.3.  Shopping Account

   1) Name: shop_measure

   2) Mathematical Symbol: S_sh

   3) Measurement: S_sh=summation(s*w)

   4) Subjective weight of indicator: W_sh=0.1

   Shopping Preference

   Indicator name: shop_measure:forwardnum

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Commodity categories




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Shopping Platform

   Indicator name: shop_measure:platform

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: JD, TaoBao, Amazon etc.,

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Shopping Expenses

   Indicator name: shop_measure:cost

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Payment Password

   Indicator name: shop_measure:paypassword

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Credit History

   Indicator name: shop_measure:creditrecord

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Shopping Time

   Indicator name: shop_measure:time

   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

6.1.1.4.  Game Account

   1) Name: game_measure

   2) Mathematical Symbol: S_ga

   3) Measurement: S_ga=summation(s*w)

   4) Subjective weight of indicator: W_ga=0.05

   Role Level

   Indicator name: game_measure:roleranking

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Wealth

   Indicator name: game_measure:wealth

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.1

   Experience

   Indicator name: game_measure:experience

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Fans

   Indicator name: game_measure:fans

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Items

   Indicator name: game_measure:prop

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Payment Password

   Indicator name: game_measure:paypassword

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.2

   Text Preference

   Indicator name: game_measure:textpreference

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Chinese, English, Tibetan, Muslim, and Uighur

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Role Play

   Indicator name: game_measure:role

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Comments

   Indicator name: game_measure:comment

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.1

   Ban Record

   Indicator name: game_measure:prohibition

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.1

   Recharging Amount

   Indicator name: game_measure:recharge

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

6.1.1.5.  Cloud Account

   1) Name: cloudfile_measure

   2) Mathematical Symbol: S_cl

   3) Measurement: S_cl=summation(s*w)

   4) Subjective weight of measurement: W_cl=0.1

   Downloads

   Indicator name: cloudfile_measure:downloadnum

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Download Type

   Indicator name: cloudfile_measure:downloadtype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1




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   Uploads

   Indicator name: cloudfile_measure:upload num

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: >0

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.3

   Upload Type

   Indicator name: cloudfile_measure:uploadtype

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Shared Resource

   Indicator name: cloudfile_measure:share

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

6.1.1.6.  Financial Account

   1) Name: financial_measure

   2) Mathematical Symbol: S_fi

   3) Measurement: S_fi=summation(s*w)

   4) Subjective weight of indicator: W_fi=0.1

   Purchased Products




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   Indicator name: financial_measure:product

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Investment Amount

   Indicator name: financial_measure:product

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.2

   Risk Assessment

   Indicator name: financial_measure:risk

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: High Medium Low

   3) Normalization: High, m=; Medium, m=0.5; Low, m=0.1

   4) Subjective weight of indicator: w=0.2

   Payment Password

   Indicator name: financial_measure:paypassword

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Earnings




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   Indicator name: financial_measure:earnings

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: >0

   3) Normalization: m, Normalize by maximum

   4) Subjective weight of indicator: w=0.2

6.1.2.  General Measurement

   1) Name: general_measure

   2) Mathematical Symbol: S_ge

   3) Measurement: S_ge=summation(s*w)

   4) Subjective weight of indicator: W_ge=0.35

   Indicator name: general_measure:id

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Virtual Subject Password

   Indicator name: general_measure:password

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Virtual Subject Location

   Indicator name: general_measure:place

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: GB/T 2659-2000 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Virtual Subject Online Time

   Indicator name: general_measure:onlinetime

   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Registered Date

   Indicator name: general_measure:registeddate

   1) Data type: Date(XMLSchema.DATETIME)

   2) Measurement range: GB/T 7408-1994 Standard

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Name

   Indicator name: general_measure:name

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Type

   Indicator name: general_measure:type

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Functionality

   Indicator name: general_measure:function

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Activity

   Indicator name: general_measure:activity

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Platform

   Indicator name: general_measure:platform

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Virtual Subject Visit Preference

   Indicator name: general_measure:preference

   1) Data type: String(XMLSchema.STRING)




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   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Search Key words

   Indicator name: general_measure:keyword

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

6.1.3.  Group Measurement

   1) Name: group_measure

   2) Mathematical Symbol: S_gr

   3) Measurement: S_gr=summation(s*w)

   4) Subjective weight of indicator: W_gr=0.2

   Group Name

   Indicator name: group_measure:name

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Group ID

   Indicator name: group_measure:id

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Online Gathering Place

   Indicator name: group_measure:place

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Contact Frequency

   Indicator name: group_measure:frequency

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

   Opinion Leader

   Indicator name: group_measure:leader

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

6.2.  Mapping Entity Measurement

   a)The categories and codes of the categories of resources,
   subclasses, major classes, and intermediates listed in Appendix A
   should not be expanded; medium and small classes can be expanded with
   the evolution of cyberspace resources; Subdivide subclasses, but the
   code length cannot be expanded.




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   b)Subdivided subclasses should be classified into corresponding
   subclasses and have the uniqueness of upward recursion.

   c)The code of the expanded feature class shall be unique and shall
   not be duplicated with existing code.

6.2.1.  General Measurement

   1) Name: general_measure

   2) Mathematical Symbol: S_ge

   3) Measurement: S_ge=summation(s*w)

   4) Subjective weight of indicator: W_ge=0.35

   Entity Name

   Indicator name: general_measure:entityname

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Entity Gender

   Indicator name: general_measure:entitysex

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Male, Female

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity License

   Indicator name: general_measure:entitysex

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Entity Profession

   Indicator name: general_measure:entityprofession

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Social Level

   Indicator name: general_measure:sociallevel

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Age

   Indicator name: general_measure:entityage

   1) Data type: Integer(XMLSchema.INT)

   2) Measurement range: 0~150

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Nationality

   Indicator name: general_measure:entitynationality

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GB/T 2659-2000 Standard




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Language

   Indicator name: general_measure:entitylanguage

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Chinese, English, etc.,

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Accent

   Indicator name: general_measure:entityaccent

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Posture

   Indicator name: general_measure:entityposture

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Geographic Location

   Indicator name: general_measure:entityplace

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: GB/T 2659-2000 Standard




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   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Entity Marriage

   Indicator name: general_measure:entitymarry

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Married, unmarried, divorced

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

   Entity Education

   Indicator name: general_measure:entityeducation

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.05

6.2.2.  Group Measurement

   1) Name: group_measure

   2) Mathematical Symbol: S_gr

   3) Measurement: S_gr=summation(s*w)

   4) Subjective weight of indicator: W_gr=0.2

   Offline Activity

   Indicator name: group_measure:activity

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured




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   4) Subjective weight of indicator: w=0.1

   Offline Gathering Place

   Indicator name: group_measure:place

   1) Data type: String(XMLSchema.STRING)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.1

   Offline Contact Frequency

   Indicator name: group_measure:frequency

   1) Data type: Float(XMLSchema.FLOAT)

   2) Measurement range: Not Required

   3) Normalization: m=0 , Not measured; m=1, Measured

   4) Subjective weight of indicator: w=0.2

7.  Acknowledgements

   With gratitude, the authors would like to thank the support,
   encouragement, and help of China Electronic Technology Group
   Corporation thirtieth Research institute and Tsinghua.University.
   And we thanks to the following persons: Jilong Wang, Congcong Miao,
   Yujin Zhou,Jiang Zhang, Hui Yang, devoted their hardworking and
   effort.

8.  IANA Considerations

   This memo includes no request to IANA.

9.  Security Considerations

   This document only defines a framework for network resource property
   description.  This document itself does not directly introduce
   security issues.







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10.  Normative References

   [RFC2119]  Bradner, S., "Key words for use in RFCs to Indicate
              Requirement Levels", RFC 2119, March 1997.

   [RFC2396]  Berners-Lee, T., "Uniform Resource Identifiers (URI):
              Generic Syntax", RFC 2396, August 1998.

   [RFC3688]  Mealling, M., "The IETF XML Registry", RFC 3688, January
              2004.

   [RFC3870]  Swartz, A., "Application/rdf+xml Media Type Registration",
              RFC 3870, September 2004.

Authors' Addresses

   Jianfeng Chen (editor)
   CETC 30
   Chengdu  610000
   China

   Email: atrix@163.com


   Zhi Sun (editor)
   CETC 30
   Chengdu  610000
   China

   Email: sunzhi1019@163.com


   Da He (editor)
   CETC 30
   Chengdu  610000
   China

   Email: edawrdheda@outlook.com


   Rui Xu (editor)
   CETC 30
   Chengdu  610000
   China

   Email: jasmine_x@163.com





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   Jilong Wang (editor)
   Tsinghua University
   Beijing  100084
   China

   Email: wjl@tsinghua.edu.cn













































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