March 19, 2024, 4:43 a.m. | Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.11180v1 Announce Type: cross
Abstract: The rapid expansion of varied network systems, including the Internet of Things (IoT) and Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring robust protection against these threats necessitates the implementation of an effective Intrusion Detection System (IDS). For more than a decade, researchers have delved into supervised machine learning techniques to develop IDS to classify normal and attack traffic. However, building effective IDS models using supervised learning requires …

abstract arxiv cs.cr cs.lg cyber detection expansion framework iiot implementation industrial industrial internet of things internet internet of things iot network protection robust systems threats type

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