小世界网络环境下基于模糊理论的信任评价  

Trust evaluation based on fuzzy theory in small-world networks

作　　者：李耀东[1] 王国军[1] 邓月明[1,2] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]湖南师范大学物理与信息科学学院,长沙410081

出　　处：《计算机工程与应用》2011年第22期89-92,123,共5页Computer Engineering and Applications

基　　金：国家自然科学基金项目No.90718034;No.60773013~~

摘　　要：信任评价模型可以解决网络中的一些安全问题,但是当网络中的节点数目非常大时,现有全局信任模型的计算量与通信开销比较大,影响了信任模型的推广和应用。针对上述问题,利用小世界网络理论构建了一个基于用户兴趣属性的层次网络模型,建立了基于模糊理论的信任评价模型。分析和仿真结果表明,该模型具有很好的准确性和健壮性;能够快速识别恶意摇摆行为;可扩展性好,如信任路径短,网络开销小。Trust evaluation model can solve some of the security problems in the network,but when there are a very large number of nodes in the network,the computation and communication costs of the existing global trust model are very large,which affect the promotion and application of trust model.In this paper,small-world network theory is exploited to construct an interest group based hierarchical network model and fuzzy theory is exploited to build up a trust evaluation model.Analysis and simulations show that the model is exact and robust;malicious oscillating behaviors can be quickly identified and the model is scalable such as short trust path and small network overhead.

关 键 词：小世界网络理论 模糊理论 兴趣群组 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]