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 …

AI-Driven Intrusion Detection for the Internet of Things: A Scoping Review of Federated Learning, Privacy-Preserving Architectures, and Edge Deployability

Gilbert Imuetinyan Osaze Aimufua & Godwin Agbonkhese* DOI: 10.5281/zenodo.21590977 SSR Journal of Artificial Intelligence (SSRJAI) Federated learning has emerged as the dominant architectural response to the privacy and communication constraints of centralised intrusion detection in Internet of Things environments, yet Read More …