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Khasim Biragdari

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Conference Jul 2026

Multi-Agent Reinforcement Learning System for Autonomous Network Intrusion Response

Cyber threats are becoming so complicated and rampant in today's highly connected digital world that there is a tremendous need for intelligent, adaptive IDS. Detecting and responding against network intrusions in real-time is the aim of the present work, which proposes a real-time Network Intrusion Detection and Autom...

S. Banu, D. Manogna, Farooq Sunar Mahammad et al. · 0 citations

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