基于动态贝叶斯网络的可信度量模型研究

doi:10.3969/j.issn.1000-436x.2013.09.009

Abstract

Abstract:

Trust evaluation model needs to be developed for trusted network.Based on interpersonal trust model in sociology,the trusted relationship between network nodes was researched,and a trust evaluation model based on dynamic bayesian network associating with time factor as proposed.The impact of authentication and network interaction behavior was fully considered,and historical interaction window,timelin factor and penalty factor were introduced.Also,the polymerization method of the direct trust de ee and indirect trust degree was given,and the dynamic adaptive ability of the model was improved as well as the calculation of the sensitivity and accuracy.Furthermore,the threaten of abnormal entity was effectively suppressed.Experimental results show that this model computes the trust degree more sensitively and effecti ly as well as better dynamic adaptivity compared with the traditional bayesian network model.

Key words: trusted network, trust evaluation, dynamic Bayesian network, conditional probabilistic distribution

Hong-quan LIANG,Wei WU. Research of trust evaluation model based on dynamic Bayesian network[J]. Journal on Communications, 2013, 34(9): 68-76.

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References 20

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P(A\|B)	P(A=H\|B=H)	P(A=H\|B=M)	P(A=H\|B=L)	P(A=M\|B=H)	P(A=M\|B=M)	P(A=M\|B=L)	P(A=L\|B=H)	P(A=L\|B=M)	P(A=L\|B=L)
P(ID\|TD)\|\|P(ACT\|TD)\|\|P(I\|ID)	0.8	0.4	0.1	0.15	0.5	0.2	0.05	0.1	0.7
P(P\|ACT)\|\|P(S\|ACT)\|\|P(R\|ACT)	0.9	0.5	0.1	0.1	0.4	0.3	0	0.1	0.6
P(R1\|R)\|\|P(R2\|R)\|\|P(R3\|R)	0.9	0.5	0.1	0.05	0.4	0.4	0.05	0.1	0.5
P(P1\|P)\|\|P(P2\|P)\|\|P(P3\|P)	0.8	0.4	0.2	0.1	0.5	0.3	0.1	0.1	0.5
P(S1\|S)\|\|P(S2\|S)\|\|P(S3\|S)	0.7	0.3	0.1	0.2	0.4	0.2	0.1	0.3	0.7

参数	默认值	描述
HEW	1 000	历史交互证据窗口所包含证据数
hew	200	本实体与目标实体的有效证据数
L	3	交互证据分为3个等级(H、M、L)
N	10	本实体的邻接实体数量
?	0.05	调节衰减速率的常量
T	0.3	综合可信度阈值
T	10	仿真迭代次数

Research of trust evaluation model based on dynamic Bayesian network

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