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