移动Ad hoc网络中基于模糊逻辑的信任预测模型

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。

Trust prediction model based on fuzzy logic in mobile Ad Hoc networks

In order to enhance the security of Ad hoc networks, a dynamic trust prediction model is presented in this paper, This model takes the account of two factors that affect trust: the node’s historical behaviors and capacity of providing services, A time decay function is introuduced to estimate the node’sdirect trust value accurately, and the node’s current trust value is assessed by using fuzzy logic rules prediction methods.Finally，we applied this model into AODV routing protocol so as to verify the validity of the model，which is defined as FTAODV routing protocol，and compared two protocol by using NS-2 simulator. Simulation results show that FTAODV routing protocol can effectively detect malicious nodes, thereby improves packet delivery ratio, decreases average end-to-end delay and routing packet overhead.