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Weighted trust evaluation-based malicious node detection for wireless sensor networks

机译:基于加权信任评估的无线传感器网络恶意节点检测

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摘要

Deployed in a hostile environment, the individual Sensor Node (SN) of a Wireless Sensor Network (WSN) could be easily compromised by an adversary due to constraints such as limited memory space and computing capability. Therefore, it is critical to detect and isolate compromised nodes in order to avoid being misled by the falsified information injected by adversaries through compromised nodes. However, it is challenging to secure the flat topology networks effectively because of the poor scalability and high communication overhead. On top of a hierarchical WSN architecture, a novel algorithm based on Weighted Trust Evaluation (WTE) to detect malicious nodes for hierarchical sensor networks is proposed in this paper. The hierarchical network can reduce the communication overhead among SNs by utilising clustered topology. The proposed algorithm models a cluster of SNs and detects malicious nodes by examining their weights that represent the reliability of SNs. Through intensive simulations, the accuracy and effectiveness of the proposed detection algorithm are verified.
机译:由于存在受限的内存空间和计算能力等限制,无线传感器网络(WSN)的单个传感器节点(SN)部署在敌对环境中,很容易遭到对手的破坏。因此,至关重要的是检测和隔离受感染的节点,以避免被对手通过受感染的节点注入的虚假信息所误导。然而,由于可伸缩性差和通信开销高,有效地保护平面拓扑网络是一项挑战。在分层WSN架构的基础上,提出了一种基于加权信任评估(WTE)的分层传感器网络恶意节点检测算法。分层网络可以通过利用集群拓扑来减少SN之间的通信开销。该算法对SN集群进行建模,并通过检查代表SN可靠性的权重来检测恶意节点。通过深入的仿真,验证了所提算法的准确性和有效性。

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