Abiola Omolola Bamsa

Adversarial Robustness of Machine Learning-based Fraud Detection Systems: An Empirical Evaluation of Attack Impact and Mitigation in Fintech Environments

Ololade Zainab Adesokan, Abiola Omolola Bamsa, Onyinye Obioha-Val, Cornelia Ifeoma Ejoh & Moses Abuobelye Akeke · Journal of Engineering Research and Reports · 2026

This study evaluated the adversarial robustness of machine learning-based fraud detection systems by comparing classifier vulnerability profiles and assessing adversarial training as a mitigation strategy. Using the IEEE-CIS Fraud Detection dataset, comprising 590,540 transaction...

Open access Research Article 10.9734/jerr/2026/v28i71957

Agentic Ransomware Targeting Autonomous Al Systems in OT/ICS Environments: Implications for Process Safety, System Reliability, and Operational Resilience

Akinde Michael Ogunmolu, Asmau Abubakar Abdulmalik, Abiola Omolola Bamsa, Damilola Abidemi Akinwunmi & Emonena Patrick Obrik-Uloho · Journal of Engineering Research and Reports · 2026

This study examines the emerging threat of agentic ransomware, a novel class of cyberattack that targets autonomous artificial intelligence (AI) systems embedded within operational technology (OT) and industrial control system (ICS) environments. As industrial infrastructures inc...

Open access Research Article 10.9734/jerr/2026/v28i41859

Privacy-enhancing Methods for Secure Sharing of Land and Environmental Data across Collaborative Research Institutions and Open Data Ecosystems

Busola Motunrayo Olawale, Utin Nyimeobong Archibong, Nanyeneke Ravana Mayeke, Abiola Omolola Bamsa & Omobolaji Olufunmilayo Olateju · Asian Journal of Research in Computer Science · 2026

This research developed and evaluated hybrid privacy-enhancing technologies (PETs) for secure sharing of land use and land cover (LULC) data across collaborative research institutions and open data ecosystems. The work was motivated by privacy risks, including re-identification v...

Open access Research Article 10.9734/ajrcos/2026/v19i5866