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Hybrid online protocols for source location privacy in wireless sensor networks

机译:无线传感器网络中用于源位置保密的混合在线协议

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Wireless sensor networks (WSNs) will form the building blocks of many novel applications such as asset monitoring. These applications will have to guarantee that the location of the occurrence of specific events is kept private from attackers, in what is called thesource location privacy(SLP) problem. Fake sources have been used in numerous techniques, however, the solution’s efficiency is typically achieved by fine-tuning parameters at compile time. This is undesirable as WSN conditions may change. In this paper, we first present an SLP algorithm – Dynamic – that estimates the relevant parameters at runtime and show that it provides a high level of SLP, albeit at the expense of a high number of messages. To address this, we provide ahybrid online algorithm – DynamicSPR – that uses directed random walks for the fake sources allocation strategy to reduce energy usage. We perform simulations of the various protocols we present and our results show thatDynamicSPRprovides a similar level of SLP as when parameters are optimised at compile-time, with a lower number of messages sent.
机译:无线传感器网络(WSN)将构成许多新型应用(例如资产监控)的基础。这些应用程序必须保证特定事件发生的位置不受攻击者的控制,这就是所谓的源位置隐私(SLP)问题。伪信号源已用于多种技术中,但是,解决方案的效率通常是通过在编译时微调参数来实现的。这是不希望的,因为WSN条件可能会发生变化。在本文中,我们首先提出了一种SLP算法-动态算法,该算法在运行时估计相关参数,并表明它提供了高水平的SLP,尽管以牺牲大量消息为代价。为了解决这个问题,我们提供了一种混合在线算法-DynamicSPR-该算法将定向随机游走用于伪造资源分配策略,以减少能耗。我们对当前提出的各种协议进行了仿真,结果表明,与在编译时优化参数并发送较少消息的情况下相比,DynamicSPR提供了相似的SLP。

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