Fadayomi Bayonle1, Oludele Awodele2, Gregory O. Onwodi3, Ibrahim A. Gangfada4, Taiwo Oluwafeyisayo Aitalegbe5, Ayeleso Anthony O.6, Isah A. Lawal7 DOI: 10.5281/zenodo.21787446 SSR Journal of Artificial Intelligence (SSRJAI) People with visual impairments remain critically underrepresented in technical education and science, technology, Read More …
Category: SSR Journal of Artificial Intelligence
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 …
An Explainable Adaptive Hybrid Artificial Intelligence Framework for Insider Threat Detection in Financial Institutions
Gilbert I.O Aimufua, Ohagwam Chidinma Maureen DOI: 10.5281/zenodo.21737036 SSR Journal of Artificial Intelligence (SSRJAI) Financial institutions depend on trusted employees, contractors and service accounts, yet this trust creates an attack surface that conventional perimeter controls cannot observe adequately. This paper Read More …
Adversarial Vulnerabilities in Large Language Models: A Critical Review and an Adaptive Multi-Layered Defense Framework for Enterprise AI
Gilbert I.O Aimufua, Abdulazeez Ogunlade Babatunde DOI: 10.5281/zenodo.21736576 SSR Journal of Artificial Intelligence (SSRJAI) Large Language Models (LLMs) now sit at the centre of many digital services, supporting the generation, summarisation, interpretation, and use of natural-language and multimodal information. As 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 …
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 …
Generative Artificial Intelligence for Synthetic Network Traffic Generation in Intrusion Detection: A Systematic Review and Future Directions
G.I.O. Aimufua1 and M.S. Bandiya2 DOI: 10.5281/zenodo.21367660 SSR Journal of Artificial Intelligence (SSRJAI) Machine learning is central to modern network intrusion detection, yet its performance is constrained by two chronic data pathologies: severe class imbalance between abundant benign traffic and Read More …
Harnessing Artificial Intelligence for Personalized Continuous Professional Development for College Teachers in North West, Nigeria
KABIRU Musa PhD1, Isa Bidda2, Salim Ibrahim3, Abubakar Ibrahim4 DOI: 10.5281/zenodo.21078509 SSR Journal of Artificial Intelligence (SSRJAI) Background: The ineffectiveness of traditional Continuing Professional Development (CPD) models for teachers is a global challenge, often characterized by a one-size-fits-all approach that Read More …
Applications of Artificial Intelligence in Solving Real-World Problems Across Disciplines
Linus Mathias1, Giliki Jerison2 and Edmond Amos Wahuyini3 DOI: 10.5281/zenodo.21078097 SSR Journal of Artificial Intelligence (SSRJAI) Artificial Intelligence (AI) has emerged as one of the most transformative technologies influencing modern society and reshaping academic, scientific, and professional disciplines. AI technologies Read More …
Artificial Intelligence in Physics Education: Opportunities and Challenges in Yobe State Tertiary Institutions in Nigeria
Abraham Aderemi Adetutu1 and Reuben BENSON2 DOI: 10.5281/zenodo.20382309 SSR Journal of Artificial Intelligence (SSRJAI) In physics education, Artificial Technologies (AI) like intelligent tutoring systems, virtual laboratories, adaptive learning platforms, machine learning applications, and AI-powered simulations are reshaping instructional delivery and Read More …
