Random selection false source-based algorithm for protecting source-location privacy in WSNs

Leqiang Bai, Ling Li, Shiguang Qian, Shihong Zhang
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引用次数: 2

Abstract

In order to improve the issue that the existing source location privacy protection algorithms have lower safety periods, the random selection fake source-based algorithm for protecting source-location privacy is put forward. The algorithm selects phantom source node with random walk. The intermediate node is selected from the nodes on the shortest phantom source-sink path with the random number and information about hops to sink. Fake source node is selected by intermediate node through random walk. Analytical results demonstrate that the algorithm can select intermediate node during the process of each packet transmission. The simulation results show that the algorithm can enhance safety period and improve the level of source-location privacy against local adversary.
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基于随机选择假源的wsn源位置隐私保护算法
为了改进现有源位置隐私保护算法安全周期较低的问题,提出了基于随机选择伪源的源位置隐私保护算法。该算法采用随机行走的方法选择虚影源节点。中间节点从最短虚影源-接收路径上的节点中选择,中间节点具有随机数和接收跳数信息。假源节点由中间节点通过随机游走选择。分析结果表明,该算法可以在每个数据包传输过程中选择中间节点。仿真结果表明,该算法可以提高安全周期,提高对局部攻击的信源位置隐私水平。
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