研究一种基于时钟偏移的传感器网络中伪造节点攻击被动式检测技术.以节点之间的时钟同步数据作为输入,构建相对发送/接收时间差序列,提取数据发送源的相对时钟偏移.在此基础上,提出了DSNA( detectspoofed node attack)算法,通过检测相对发送/接收时间差序列异常识别伪造节点攻击,进一步在确定了攻击模式的基础上,对不同节点所发送的同步数据进行分类并提取时钟偏移作为指纹识别出伪造节点.在真实传感器网络环境下对检测技术进行了验证,结果表明该方法可以在被动方式下,快速准确地实现对伪造节点攻击的检测和伪造节点的识别.%This paper stadied a novel passive spoofed node attack detection technique in wireless sensor network (WSN). It estimatedn node' s relative send/receive time difference series and clock skew by analyzing time synchronization data transmitted in WSN. Based on the analysis of attack pattern,it proposed DSNA algorithm by checking the relative send/receive time difference series to detect spoofed node attack, and then it could identify spoofed node by using clock skew as its fingerprint. The test under real environment shows that this technique can passively detect spoofed node attack and identify spoofed node quickly with high precision.
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