Peter Wonah Odey, Abdulazeez Ogunlade Babatunde and Myedan Nahum Eli DOI: 10.5281/zenodo.21967154 SSR Journal of Artificial Intelligence (SSRJAI) The digitization of Electronic Health Records (EHRs) has significantly improved care coordination, but has concurrently aggregated highly sensitive identity and clinical access Read More …
Category: SSR Journal of Artificial Intelligence
Adversarially Robust Intrusion Detection in Software-Defined Networks Using a Resilient Adversarial Deep Neural Network with Stochastic Gradient Langevin Dynamics
Aisha Lawal Yusuf1, Uche M. Mbanaso2, Makinde Julius3, Garba S. Abdullahi4 DOI: 10.5281/zenodo.21916729 SSR Journal of Artificial Intelligence (SSRJAI) Software-Defined Networking (SDN) has transformed network management by separating the control plane from the data plane, thereby improving flexibility, programmability, and Read More …
Federated Gradient Boosting for IOT Intrusion Detection: A Non-IID Evaluation of LightGBM and XGBoost under Manual FedAvg on TON_IoT
Gilbert Imuetinyan Osaze Aimufua & Salma Muhammad Abidi DOI: 10.5281/zenodo.21915999 SSR Journal of Artificial Intelligence (SSRJAI) IOT deployments expose distributed edge devices to a widening range of network intrusion threats, yet centralised intrusion detection systems conflict with data sovereignty constraints Read More …
Federated Learning for Privacy-Preserving Threat Detection in Massive IOT Ecosystems: A Systematic Literature Review
Peter Wonah Odey, Habibu Danjuma, Muhammad Salma Abidi DOI: 10.5281/zenodo.21901804 SSR Journal of Artificial Intelligence (SSRJAI) Federated learning (FL) has emerged as a principal architecture for privacy-preserving intrusion detection in Internet of Things (IOT) environments, motivated by the impossibility of Read More …
Fine-Grained Propaganda Detection for Hausa: Systematic Review of Resources, Methods, and Future Directions
Abdulhamid Abubakar1, Gilbert I. O. Aimufua2, Muhammed A. Abubakar3 DOI: 10.5281/zenodo.21848915 SSR Journal of Artificial Intelligence (SSRJAI) The proliferation of propaganda through digital platforms threatens information integrity globally. Computational tools for fine-grained persuasion technique detection remain concentrated on English and Read More …
From Confounded Signals to Causal Affect: Proximal Inference with Hybrid Deep Learning for Wearable Emotion Recognition in Precision Mental Health
Nurudeen Jibrin¹, Gilbert I. O. Aimufua², Chaku E. Shammah³ DOI: 10.5281/zenodo.21848717 SSR Journal of Artificial Intelligence (SSRJAI) Emotion recognition from wearable physiological sensors is fundamentally challenged by latent confounders. Physical activity, individual physiological variability, and environmental noise obscure genuine affective Read More …
Explainable AI for Multi-Modal Insider Threat Detection: A CNN-LSTM-Autoencoder Framework with SHAP-LIME Comparative Analysis
Onoja Sunday Onoja1, Gilbert I.O Aimufua2 DOI: 10.5281/zenodo.21787748 SSR Journal of Artificial Intelligence (SSRJAI) Insider threat is one of the most malevolent and catastrophic categories of failures in the security of the world’s financial infrastructure, and this is magnified exponentially Read More …
Enhancing Technical Education for People with Visual Impairments Using Artificial Intelligence
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 …
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 …
