Aug. 3, 2023, 1:10 a.m. | KG Raghavendra Narayan, Srijanee Mookherji, Vanga Odelu, Rajendra Prasath, Anish Chand Turlapaty, Ashok Kumar Das

cs.CR updates on arXiv.org arxiv.org

With rapid technological growth, security attacks are drastically increasing.
In many crucial Internet-of-Things (IoT) applications such as healthcare and
defense, the early detection of security attacks plays a significant role in
protecting huge resources. An intrusion detection system is used to address
this problem. The signature-based approaches fail to detect zero-day attacks.
So anomaly-based detection particularly AI tools, are becoming popular. In
addition, the imbalanced dataset leads to biased results. In Machine Learning
(ML) models, F1 score is an important …

address applications attacks defense design detection fail growth healthcare internet intrusion intrusion detection intrusion detection system iot problem protecting rapid resources role security security attacks signature system things

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