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Author:

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

Indexed by:

Scopus SCIE CSCD

Abstract:

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.

Keyword:

trusted network behavioral predictive control similarity trust measurement

Author Community:

  • [ 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

Reprint Author's Address:

  • 张建标

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

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Source :

CHINA COMMUNICATIONS

ISSN: 1673-5447

Year: 2012

Issue: 5

Volume: 9

Page: 117-128

4 . 1 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 8

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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