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机构地区:[1]西北师范大学计算机科学与工程学院,兰州730070
出 处:《计算机应用》2012年第12期3435-3438,共4页journal of Computer Applications
基 金:国家自然科学基金资助项目(61163038);甘肃省教育厅科研项目(1001B-01)
摘 要:为了增强Ad Hoc网络的安全性,提出了一种动态信任预测模型。该模型综合考虑了影响信任的两个因素:节点的历史行为和节点提供服务的能力,引入了时间衰减函数来精确地估计节点的直接信任值,并通过模糊逻辑规则预测方法来评估节点的当前信任值。最后,为了验证该模型的有效性,将该模型应用于AODV路由协议中,定义为FTAODV路由协议,并利用NS-2仿真软件对两种协议进行比较。仿真结果表明:FTAODV路由协议能够有效地监测恶意节点,从而提高了分组投递率,降低了平均端到端时延和路由包开销。In order to enhance the security of Ad Hoc networks,a dynamic trust prediction model was presented in this paper.This model took the account of two factors that affect trust: the node's historical behaviors and capacity of providing services.A time decay function was introduced to estimate the node's direct trust value accurately,and the node's current trust value was assessed by using fuzzy logic rules prediction methods.Finally,this model was applied into AODV routing protocol to verify the validity of the model,which was defined as FTAODV routing protocol,and the two protocol were compared by using NS-2 simulator.The simulation results show that FTAODV routing protocol can effectively detect malicious nodes,thus improving packet delivery ratio,and decreasing average end-to-end delay and routing packet overhead.
关 键 词:AD HOC网络 信任预测 模糊逻辑 隶属函数 恶意节点
分 类 号:TP393.08[自动化与计算机技术—计算机应用技术]
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