摘要
针对节点进行交易后,对节点给出评价信息,然后采用模糊与相似原理对评价信息进行处理,建立节点的信任模型;另外,针对网络中存在的恶意节点、自私节点提出信任信息反馈算法与信任更新策略。最后通过仿真实验,证明了该方法的科学性与有效性。
The trust model is put forward according to the evaluation information which is given to the node after the node trade behavior by using fuzzy and similarity theory. In addition, the trust information feedback algorithm and the trust update strategy are proposed in view of the existing malicious nodes and selfish nodes through the network. Finally in the simulation experiment, the method is proved to be scientific and effective.
出处
《计算机应用与软件》
CSCD
2016年第12期305-308,328,共5页
Computer Applications and Software
基金
国家自然科学基金项目(61379058
61272494)
湖南省教育厅科学研究项目(14C0097)
长沙市科技计划项目(K1407030-11)
关键词
模糊原理
相似原理
信任模型
Fuzzy theory
Similarity theory
Trust model
