一种基于标签的抗虫洞攻击MMCL算法

A Label-Based MMCL Algorithm Against Wormhole Attack

针对移动传感器网络节点定位算法的安全性问题,分析了虫洞攻击对MMCL算法的影响。为抵御虫洞攻击,改善定位性能,提出了一种基于标签的抗虫洞MMCL算法LB-MMCL(Label-Based Multi-hop Monte Carlo Localization)。该算法基于节点邻居列表中的异常,依据距离约束机制和消息唯一性原则,标记并区分虫洞两端受攻击的节点,断开虚假链路,以减轻虫洞攻击的影响,达到抵御攻击的目的。仿真结果表明,在无需额外硬件辅助下,LB-MMCL算法能有效抵御虫洞攻击,改善节点定位精度和定位率。

To solve the problem of secure localization in MWSN,this paper analyzes the effect of wormhole attack on MMCL algorithm. In order to resist wormhole attacks and improve localization performance,a secure LB-MMCL algorithm was proposed. Based on the abnormal nodes neighbor-lists when wormhole attack occurs,LB-MMCL can label and detect two kinds of wormhole link nodes according to distance-astrict property and packet uniqueness property,break wormhole links to mitigate the impact of wormhole attacks and enhance the node localization accuracy. The simulation results show that LB-MMCL can efficiently against the wormhole attack without extra-hardware,improve the node localization accuracy and the percentage of localizable nodes.