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MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs
Feb. 22, 2024, 5:11 a.m. | Md. Alamin Talukder, Selina Sharmin, Md Ashraf Uddin, Md Manowarul Islam, Sunil Aryal
cs.CR updates on arXiv.org arxiv.org
Abstract: Wireless Sensor Networks (WSNs) play a pivotal role as infrastructures, encompassing both stationary and mobile sensors. These sensors self-organize and establish multi-hop connections for communication, collectively sensing, gathering, processing, and transmitting data about their surroundings. Despite their significance, WSNs face rapid and detrimental attacks that can disrupt functionality. Existing intrusion detection methods for WSNs encounter challenges such as low detection rates, computational overhead, and false alarms. These issues stem from sensor node resource constraints, data …
arxiv attacks can communication connections cs.cr cs.lg data detection gathering intrusion intrusion detection machine machine learning mobile networks play rapid role sensing sensor sensors wireless
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