Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. As an important part of the Internet of Things (IoT), wireless sensor networks (WSNs) have been widely used in military, transportation, medical, and household fields. However, in the applications of wireless sensor networks, the adversary can infer the location of a source node and an event by backtracking attacks and traffic analysis. The location privacy leakage of a source node has become one of the most urgent problems to be solved in wireless sensor networks. To solve the problem of source location privacy leakage, in this paper, we first propose a proxy source node selection mechanism by constructing the candidate region. Secondly, based on the residual energy of the node, we propose a shortest routing algorithm to achieve better forwarding efficiency. Finally, by combining the proposed proxy source node selection mechanism with the proposed shortest routing algorithm based on the residual energy, we further propose a new, anonymous communication scheme. Meanwhile, the performance analysis indicates that the anonymous communication scheme can effectively protect the location privacy of the source nodes and reduce the network overhead.

中文翻译：

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一种有效的匿名通信方案，可保护物联网中源节点位置的隐私

近年来，机器学习（ML）的进步使各种令人眼花applications乱的应用程序成为可能，例如数据分析，自治系统和安全诊断程序。作为物联网（IoT）的重要组成部分，无线传感器网络（WSN）已广泛用于军事，运输，医疗和家庭领域。但是，在无线传感器网络的应用中，对手可以通过回溯攻击和流量分析来推断源节点和事件的位置。源节点的位置隐私泄漏已成为无线传感器网络中要解决的最紧迫的问题之一。为了解决源位置隐私泄露的问题，本文首先通过构造候选区域来提出代理源节点选择机制。其次，基于节点的剩余能量，我们提出了一种最短的路由算法，以实现更好的转发效率。最后，通过将所提出的代理源节点选择机制与所提出的基于剩余能量的最短路由算法相结合，我们进一步提出了一种新的匿名通信方案。同时，性能分析表明，匿名通信方案可以有效地保护源节点的位置隐私，减少网络开销。