Wireless sensor networks (WSNs) are gaining more and more interest in the research community due to their unique\ncharacteristics. Besides energy consumption considerations, security has emerged as an equally important aspect in\ntheir network design. This is because WSNs are vulnerable to various types of attacks and to node compromises, and\nas such, they require security mechanisms to defend against them. An intrusion detection system (IDS) is one such\nsolution to the problem. While several signature-based and anomaly-based detection algorithms have been\nproposed to date for WSNs, none of them is specifically designed for the ultra-wideband (UWB) radio technology.\nUWB is a key solution for wireless connectivity among inexpensive devices characterized by ultra-low power\nconsumption and high precision ranging. Based on these principles, in this paper, we propose a novel anomaly-based\ndetection and location-attribution algorithm for cluster-based UWB WSNs. The proposed algorithm, abbreviated as\nADLU, has dedicated procedures for secure cluster formation, periodic re-clustering, and efficient cluster member\nmonitoring. The performance of ADLU in identifying and localizing intrusions using a rule-based anomaly detection\nscheme is studied via simulations.
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