一种基于AOA信任评估的无线传感器网络Sybil攻击检测新方法

AOA based trust evaluation scheme for Sybil attack detection in WSN

随着无线传感器网络(WSN)技术广泛应用在数字家庭网络及其他领域,其安全问题日益突出。针对无线传感器网络中典型的Sybil攻击,提出了一种基于信号到达角信任评估检测新方法TEBA。信标节点基于Sybil节点创建多个虚拟身份。但其物理位置相同的思想,利用信号到达角相位差对邻居节点身份作出信任评估,将低于某一信任阈值的节点身份归为Sybil攻击。方案引入多节点协作思想,摒弃了复杂的质心计算,实现了低时延高效性检测。仿真结果表明,该方法能防御及检测Sybil攻击,有效保护系统性能。

As wireless sensor networks （WSN） are widely applied in smart home networks and other new emerging areas, its security issues become increasingly prominent. Aiming at the typical Sybil attack in WSN,this paper proposed a new trust evaluation based on AOA （angle of arrival） detection scheme TEBA （trust evaluation based on AOA）. According to the feature that Sybil node could create multi-identities but only with one physical position,beacon node identified Sybil identities whose signal phase difference below trust threshold by means of evaluating trust degree for adjacent sensor nodes . TEBA introduced multi-node collaborative ideas and discarded complex centroid calculation, realizing a low-latency, efficient detection. The simulation results show that TEBA can not only detect and defense Sybil attack but also protect system performance effectively.