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作者:

Gong Bei (Gong Bei.) (学者:公备) | Zhang Jianbiao (Zhang Jianbiao.) (学者:张建标) | Shen Changxiang (Shen Changxiang.) | Zhang Xing (Zhang Xing.)

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Scopus SCIE CSCD

摘要:

In order to construct the trusted network and realize the trust of network behavior, a new multi-dimensional behavior measurement model based on prediction and control is presented. By using behavior predictive equation, individual similarity function, group similarity function, direct trust assessment function, and generalized predictive control, this model can guarantee the trust of an end user and users in its network. Compared with traditional measurement model, the model considers different characteristics of various networks. The trusted measurement policies established according to different network environments have better adaptability. By constructing trusted group, the threats to trusted group will be reduced greatly. Utilizing trusted group to restrict individuals in network can ensure the fault tolerance of trustworthiness of trusted individuals and group. The simulation shows that this scheme can support behavior measurement more efficiently than traditional ones and the model resists viruses and Trojans more efficiently than older ones.

关键词:

behavioral predictive control similarity trusted network trust measurement

作者机构:

  • [ 1 ] [Gong Bei]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang Jianbiao]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Shen Changxiang]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Shen Changxiang]Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
  • [ 5 ] [Zhang Xing]Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
  • [ 6 ] [Gong Bei]Fujian Normal Univ, Key Lab Network Secur & Cryptol, Fuzhou 350007, Peoples R China

通讯作者信息:

  • 张建标

    [Zhang Jianbiao]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China

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来源 :

CHINA COMMUNICATIONS

ISSN: 1673-5447

年份: 2012

期: 5

卷: 9

页码: 117-128

4 . 1 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:137

JCR分区:4

中科院分区:4

被引次数:

WoS核心集被引频次: 8

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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