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 …
Tag: Internet of Things
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 …
Detection Depth and Distributed Trust in AI-Based IoT Intrusion Detection: A Systematic Analysis
Gilbert Imuetinyan Osaze Aimufua, Hashim Abdul Isah DOI: 10.5281/zenodo.21590526 SSR Journal of Artificial Intelligence (SSRJAI) Blockchain-integrated deep learning intrusion detection systems for the Internet of Things have attracted growing research attention, yet the relationship between detection depth and blockchain trust Read More …
A Comprehensive Taxonomy and Empirical Analysis of IoT Cybersecurity Attack Vectors: A Systematic Review
Umaru Musa1, Adenomon Monday O.2, Steven I. Bassey3 & Gilbert I.O. Aimufua4 DOI: 10.5281/zenodo.17203717 SSR Journal of Artificial Intelligence (SSRJAI) The proliferation of the Internet of Things (IoT) has transformed the digital ecosystem, enabling seamless connectivity across industries, smart homes, Read More …
