摘要
针对目前信任链管理中信任计算时信任信息不完备的问题,提出了一种基于推荐的信任链管理模型RTCM(recommendation based trust chain management model)。通过构建信任网络,在信任链选择时考虑信任传递衰减、时间衰减、路径权重等因素,使得信任链搜索的时间复杂度大幅降低。充分包含了信任的相关信息,并利用加权紧密度对信任链上的推荐信任进行合并,同时给出了抑制节点恶意推荐的策略。仿真实验表明,该模型提高了网络的可信性。
Aiming at the present problem that the trust information was not sufficient when processing the trust com-putation in trust link management,a recommendation based trust chain management model（RTCM） was presented.With the building of the trusted network,considering the factors such as the transition fading,time decay,and weight of the path and so on,the model decreased the time complexity in the search of the trusted paths.Used weighted closeness to combine the recommendation paths,fully considered the trust-related information,and the policy to in-hibit the malicious recommendation was given.Finally,the experiment has shown that this model has improved the trustworthiness of network.
出处
《通信学报》
EI
CSCD
北大核心
2011年第10期1-9,共9页
Journal on Communications
基金
国家自然科学基金资助项目(60873203
61170254)
河北省杰出青年自然基金资助项目(2010000317)
河北省自然科学基金资助项目(2010000319)~~
关键词
信任
推荐信任
加权紧密度
推荐合并
trust
recommendation trust
weighted closeness
recommendation combine
