面向多跳无线自组织网络的安全信任模型

摘要

针对大规模无线自组织网络中可能存在的自私节点问题以及恶意节点问题,提出一种基于贝叶斯理论的安全信任模型BTM（Bayesian-based trust model）。在BTM模型中,节点通过对邻近节点的自私或者有害行为进行监测,基于贝叶斯理论对这些直接观测数据进行分析,得到间接判定数据;然后通过节点间间接判定数据的进一步贝叶斯处理,得到节点的信任度,基于此信任度可对网络中的不良节点进行判定。仿真结果表明：BTM算法可对无线网络中的恶意攻击节点、自私节点进行较为准确的判定,能够为网络入侵检测系统、安全路由协议提供有效支持,从而有效提高多跳无线自组织网络的安全性,具有较高的实用价值。%Security is one of the most important factors impacting the practical deployments of ad hoc networks as there may be many selfish or malicious nodes in the networks.A Bayesian inference based trust model,named Bayesian-based Trust Model（BTM）,is proposed to address the detection of the selfish or malicious nodes.Under the proposed BTM,nodes in the network keep monitor their neighbors through packets listening.The results are analyzed based on Bayesian inference theory,and the first-hand trust factor is derived.Based on such first-hand trust factor,the nodes derive the second-hand trust factor using another Bayesian procedure.The second-hand trust factor can then be used for selfish or malicious nodes detection.Simulation results show that the proposed BTM can detect and distinguish selfish and malicious nodes accurately,and it is more suitable for intrusion detection system and secure routing protocol than current schemes.