Computer Science ›› 2010, Vol. 37 ›› Issue (4): 91-.

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Multi-granularity Trust Model Based on Individual Expericence

DENG Zhong-jun,WANG Shao-jie,ZHENG Xue-feng,SUO Yan-feng, YU Zhen   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In distributed networks, the trust evaluation for the same quality services of one node conducted by different access nodes is different. On the one side,it has relation to the direct mutual experience of the accessing node. And on the other side, it has relation to the accessing node's interest and opinion about the service evaluation. Some nodes think a lot of the download speed, while some other nodes put more emphasis on the security and reliability of the service, which cannot but lead to influence the veracity of trust evaluation. In order to eliminate the infection resulted from the trust evaluation difference of individual nodes, a multi-granularity trust model based on individual experience was put forward. In this model, experience factor and multi trust information recording methods were employed. Experiment and analysis show that the proposed model has better improvement in granularity and veracity of trust evaluation.

Key words: Trust model, Asymmetry, Relative experience factor, Feedback trust value

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