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Author/Affiliation: Win Mar OoOpen AccessArticle
13 Pages, 1,345 KB 
Hybrid Feature Selection for Anomaly Detection in IoT Network Intrusion Detection Systems
Abstract:
The rapid growth of Internet of things (IoT) devices have heightened the need for effective Intrusion Detection System (IDS) to combat evolving cyber threats. The IoT networks has the security challenges due to the heterogeneous and high-dimensional nature of network traffic data, redundant features, and class imbalance which hinder detection accuracy and efficiency. Effective IDS…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))