基于交互感知的动态自适应的信任评估模型

doi:1000-436X(2012)10-0060-11

Abstract

Abstract:

A dynamic adaptive trust evaluation model was established based on interaction-aware.The historical interaction window and trustworthy recommendation number was introduced in overall trust evaluation method,which overcomes the shortage of traditional models that lack the capacity to interaction-aware.The direct trust accumulation method based on interaction satisfaction degree iterative calculation was proposed,which achieved the incentive and penalty iterative strategy based on entity stability factor,and effectively inhibits malicious entities with camouflage.A synthetical recommendation trust aggregating method based on combination of direct and indirect recommendation trust was given,which solved the accuracy low and unreliable problems of traditional recommendation methods by introducing entity familiarity factor and scoring similarity factor.Simulation results show that,compared to the existing trust model,the model can effectively improve the accuracy of trust evaluation,and can provide a better capacity of resisting collusive entities.

Key words: internet computing, trust, trust evaluation, interaction-aware, interaction satisfaction degree

Feng LI,Li-min SHEN,Ya-li SI,Jing-chun NIU. Dynamic adaptive trust evaluation model based on interaction-aware[J]. Journal on Communications, 2012, 33(10): 60-70.

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References 16

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参数	缺省值	描述
N	2 000	实体规模
TS	8 000	真实服务种类数
FS	2 000	不真实服务种类数
S	10	实体提供的服务数
C	10	实体请求的服务数
t	1 200	实体间的交互次数

Dynamic adaptive trust evaluation model based on interaction-aware

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