无线传感器网络中基于双重约束的虫洞攻击检测方法

Wormhole Attack Ddetection Method Based on Double Constraints in Wireless Sensor Networks

针对无线传感器网络中最具破坏性的虫洞攻击,提出了基于双重约束的虫洞攻击检测方法。该算法改进了Shadowing路径损耗模型和RSSI测距技术,通过限制邻居发现消息的传输距离防止虫洞节点建立虚假邻居,并使用加密散列密钥算法判断传输过程中数据的合法性,防止在数据传输阶段的内部虫洞攻击。若发现异常数据,则使用能量阈值约束原则检测虫洞攻击节点并删除,从而有效解决虫洞攻击导致的数据丢失和篡改问题。基于OMNeT++的仿真实验结果表明,该算法在恶意节点的检测率、判错率以及网络生命周期等方面均优于其他算法,可有效抵御无线传感器网络中的虫洞攻击。

A dual constraint based wormhole attack detection method is proposed to address the most destructive wormhole attacks in wireless sensor networks.This algorithm improves the Shadowing path loss model and RSSI ranging technology by limiting the transmission distance of neighbor discovery messages to prevent wormhole nodes from establishing false neighbors.It also uses an encrypted hash key algorithm to determine the legitimacy of data during transmission,preventing internal wormhole attacks during the data transmission phase.If abnormal data is found,the energy threshold constraint principle is used to detect wormhole attack nodes and delete them,effectively solving the problems of data loss and tampering caused by wormhole attacks.The simulation results based on OMNeT++show that the algorithm outperforms other algorithms in terms of malicious node detection rate,error rate,and network lifecycle,and can effectively prevent wormhole attacks in wireless sensor networks.