一种无线传感器网络抗虫洞攻击DV-HOP定位算法

为抵御虫洞攻击,改善定位性能,提出了一种基于安全邻居发现的抗虫洞攻击DV-HOP (distance vector-Hop)算法(secure neighbor discovery based DV-HOP, NDDV).该算法基于虫洞攻击时网络节点间通信跳数出现的异常,依据节点间路径跳数差异检测虫洞,通过搜索发现、滤除各虚假链路,以保障DV-HOP跳数跳距的准确性,减轻虫洞攻击的影响,提升节点定位精度.以变化参考节点比例的方式,对144个节点进行150次定位仿真实验,结果表明,平均节点度数达到5以上,NDDV即能有效滤除虫洞链路,提升节点定位精度;同等定位精度的情况下相比LBDV (label-based DV-HOP localization against wormhole attacks)算法所需的参考节点比例平均低约17.5%. 

A DV-HOP Localization Algorithm Against Wormhole Attacks in WSN

In order to resist wormhole attacks and improve localization performance, a secure neighbor discovery based DV-HOP(NDDV) algorithm was proposed. Based on the abnormal hop number in the network node communication when wormhole attack occurs, NDDV can detect two kinds of wormhole links according to the path hop number difference between nodes, then search, find and filter wormhole links to ensure the correctness of DV-HOP hop number and hop distance, mitigate the impact of wormhole attacks, and enhance the node localization accuracy. In the simulation experiments, 144 nodes were positioned 150 times with different locator ratios. The results show that when the mean locator ratio is more than five, NDDV can effectively filter the wormhole links and improve the node localization accuracy. With the same average localization accuracy, NDDV has the locator ratio 17.5% smaller than LBDV (label-based DV-HOP localization against wormhole attacks).