usfAD Based Effective Unknown Attack Detection Focused IDS Framework

arXiv:2403.11180v1 Announce Type: new
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 …

arxiv attack cs.cr cs.lg cyber cyber threats detection expansion framework ids iiot implementation industrial industrial internet of things internet internet of things intrusion intrusion detection intrusion detection system iot led network protection rapid system systems things threats