The Evaluation of trust models based on Quantitative parameters in Distributed P2P Scenarios
Varied trust models have been proposed recently,it is necessary to develop an effective method to evaluate these trust models to resolve the commonalities(guiding the newly generated trust models in theory)and individuality(assisting a decision maker to choose an optimal trust model to implement in specific context)issues.A new method for analyzing and comparing trust model based on parameters hierarchical quantization is proposed in this paper.Several parameters are extracted from the functional attributes and quality feature of trust relationship,as well as requirements from the specific network context and the evaluators.Several distributed P2P trust models are analyzed quantitatively with extracted parameters modeled into a hierarchical model.The fuzzy inferring method are applied to the hierarchical model of parameters to fuse the evaluated values of the candidate trust models,then the relative optimal one is selected to implement based on the sorted overall quantitative values.Finally,analyses and simulation are performed.The results show that the proposed method is reasonable,and effective compared with the previous algorithms.
Network security Trust Trust models Trust model evaluation Parameters hierarchical modeling
Wang Jing-pei
Information Security Research Center,China Ceprei Laboratory,Guangzhou 510610,China
国内会议
武汉
英文
588-602
2015-05-26（万方平台首次上网日期，不代表论文的发表时间）