基于集对分析的无线传感器网络风险信任模型

Risk Trust Model of Wireless Sensor Networks Based on Set Pair Analysis

由于无线传感器网络资源的制约,简易的信任模型对传感器网络安全、可靠地运行有着重要的意义。基于集对分析理论提出了无线传感器网络的风险信任模型,并给出了风险信任模型的描述和计算方法。根据交互记录量化了相邻接节点的直接信任,并采用奖惩机制动态更新节点的直接信任;利用邻居节点的推荐获得间接信任,并给出了单路径和多路径的推荐方法;融合直接信任和间接信任得到节点的综合信任;最后,结合主观风险分析利用对势计算节点的风险信任度。实验仿真结果表明该模型不但反映灵敏性,容错性较好,而且具有稳定的良好的发现率和误判率,能够有效地提高无线传感器网络的安全性和可靠性。

Because of the resource limitations in wireless sensor networks, a simple trust model of wireless sensor networks is great significance for safe and reliable operation. Based on the set pair analysis, a risk trust model of wireless sensor networks is proposed, and given the expression and calculation method. Direct trusts of adjacent nodes are quantified according to interactive records and dynamically updated by incentive mechanisms;Indirect trusts are gained from the recommendations of neighbor nodes, which are described as single-path and multi-path recommended methods;Comprehensive trusts are integrated according to direct trust and indirect trust. Finally, risk trust degrees are calculated by pair potential, combining with subjective risk analysis. Simulation results shown that proposed model had not only good sensitive and fault tolerance, but also good detection rate and false positive rate, which can effectively improve the security and reliability of wireless sensor networks.