April 18, 2024, 4:11 a.m. | Wadid Foudhaili, Anouar Nechi, Celine Thermann, Mohammad Al Johmani, Rainer Buchty, Mladen Berekovic, Saleh Mulhem

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.10792v1 Announce Type: new
Abstract: Intrusion detection systems (IDS) are crucial security measures nowadays to enforce network security. Their task is to detect anomalies in network communication and identify, if not thwart, possibly malicious behavior. Recently, machine learning has been deployed to construct intelligent IDS. This approach, however, is quite challenging particularly in distributed, highly dynamic, yet resource-constrained systems like Edge setups. In this paper, we tackle this issue from multiple angles by analyzing the concept of intelligent IDS (I-IDS) …

arxiv communication cs.ar cs.cr cs.lg cs.ni detect detection edge hardware identify ids intrusion intrusion detection machine machine learning malicious malicious behavior network network communication network security security security measures systems task

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