A Lightweight AI-Driven Intrusion Detection System for Cyber-Physical IoT Networks: Balancing Detection Performance and Edge Deployability

Peter Wonah Odey, Hashim Abdul Isah* and Okoduwa Ernest Atama DOI: 10.5281/zenodo.21737248 SSR Journal of Artificial Intelligence (SSRJAI) Machine learning-based intrusion detection systems for IoT networks are predominantly evaluated on detection metrics alone; computational efficiency is left unmeasured and deployment Read More …

Neural Networks and Deep Learning Models in Intrusion Detection Systems

I.O. Clementina1, Dr. E.S. Chaku2, Dr. S. Bassey3, Dr. Emomotimi Agama4, Prof. Gilbert Aimufua5 & M.A. Ya’a6 DOI: 10.5281/zenodo.17357022 SSR Journal of Artificial Intelligence (SSRJAI) Intrusion Detection Systems (IDS) are critical for safeguarding modern networks against increasingly sophisticated cyber threats. Read More …