March 21, 2024, 4:10 a.m. | Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

cs.CR updates on arXiv.org arxiv.org

arXiv:2403.13013v1 Announce Type: new
Abstract: With the increased use of network technologies like Internet of Things (IoT) in many real-world applications, new types of cyberattacks have been emerging. To safeguard critical infrastructures from these emerging threats, it is crucial to deploy an Intrusion Detection System (IDS) that can detect different types of attacks accurately while minimizing false alarms. Machine learning approaches have been used extensively in IDS and they are mainly using flat multi-class classification to differentiate normal traffic and …

analysis applications arxiv can classification critical cs.cr cs.lg cyberattacks deploy design detect detection emerging emerging threats ids internet internet of things intrusion intrusion detection intrusion detection system iot network real safeguard system technologies things threats types world

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