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Chalana Ranwala

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Conference Open access 2026

Lightweight Real-Time Wireless Intrusion Detection for IEEE 802.11 Networks on Edge Devices

This paper proposes a lightweight, edge-deployed Wireless Intrusion Detection System (WIDS) trained on the AWID3 dataset across eight legacy and modern attack classes, which combines a three-stage feature selection pipeline with cost-sensitive learning for compact 27-feature classification at low latency, and a multi-stage validation mechanism that reduces false positives in real-time.

Himasha Jayasekera, Rajani Piyarathna, Chalana Ranwala et al. · 0 citations