WSN中基于伪正态分布的幻影路由隐私保护方案

Source-location privacy protection strategy through pseudo normal distribution-based phantom routing in WSN

为提高无线传感器网络中的源节点隐私保护安全性能,提出一种基于伪正态分布的幻影路由隐私保护(source-location privacy protection strategy through pseudo normal distribution-based phantom routing,PNDBPR)方案。该方案的实施过程为利用随机数机制计算幻影节点的随机有向游走跳数,通过该机制可以增加幻影节点的位置分布多样性与动态性,经概率转发路由机制将数据包从幻影节点转发至汇聚节点,目的是降低重合路径产生的可能性。从隐私保护性能和通信开销两方面对PNDBPR方案和基于源节点有限洪泛的源节点隐私保护(source location privacy preservation protocol in wireless sensor network using source-based restricted flooding,PUSBRF)方案进行了理论对比分析,并在MATLAB仿真平台上对PNDBPR方案与PUSBRF方案做了仿真分析。理论和仿真分析表明,PNDBPR方案产生的幻影节点位置分布更广泛,传输路径更复杂,增加了安全时间,能明显提高源节点位置隐私保护的安全程度。

In order to improve the security of the source-location privacy in wireless sensor network（ WSN）,a Source-location Privacy Protection Strategy through Pseudo Normal Distribution-based Phantom Routing（ PNDBPR） protocol is proposed in this paper. Specifically,this protocol is composed of two steps： The PNDBPR protocol calculates the directional random walk by using a series of random numbers; this mechanism can increase the diversity and the dynamicity of phantoms node positional distribution; and then we send the data packets from the phantom nodes to the sink by the probability of forwarding routing mechanism,which can reduce the generated possibility of overlapping path. Theoretical analysis and simulation results show that,compared with PUSBRF,PNDBPR can dramatically improve the diversity and the dynamicity of the phantom nodes distribution and prolong the safety period. Thus it can significantly improve the safety of the source-location privacy protection.