The rapid digitalisation of banking has increased exposure to financial cybercrime, while existing fraud-detection methods remain limited by single-modality data, class imbalance, concept drift, and poor explainability. This study developed and evaluated the Generative AI-Enhance...
Open access
Research Article10.9734/jerr/2026/v28i71953
The increasing sophistication of intelligent cyber warfare, in which adversaries exploit artificial intelligence to automate reconnaissance, generate polymorphic malware, and conduct machine-speed attacks, has rendered conventional perimeter security and static Zero Trust impleme...
Open access
Research Article10.9734/ajrcos/2026/v19i7882
This study examines the relationship between artificial intelligence (AI) readiness, information governance maturity, and autonomous workflow optimisation in public-sector and public-serving institutions. As governments increasingly adopt AI and intelligent automation for service...
Open access
Research Article10.9734/ajrcos/2026/v19i6873
School psychologist shortages remain a critical challenge in high-need districts, where ratios often exceed 1:1,200, limiting timely mental health support for students. This desk-based study developed hybrid AI and telepsychology workforce models to address these shortages. A sys...
Open access
Research Article10.9734/ajrcos/2026/v19i6868
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 Article10.9734/ajrcos/2026/v19i5866
Suleiman S. Abba, Oluwadayo Mafolasere Olaniyi, Utin Nyimeobong Archibong, Oluwaseun Oladeji Olaniyi & Adesoji Odufuwa Odukomaiya·Journal of Engineering Research and Reports·2026
This article presents the Adaptive Behavioral Zero Trust Framework (AB-ZTF), a novel governance architecture integrating continuous behavioral profiling, Bayesian dynamic trust scoring, and adaptive policy enforcement for real-time identification of rogue and compromised autonomo...
Open access
Research Article10.9734/jerr/2026/v28i61927
Christopher Ugbong Akeke, Oluwadayo Mafolasere Olaniyi, Busola Motunrayo Olawale, Utin Nyimeobong Archibong & Seun Michael Oyekunle·Asian Journal of Research in Computer Science·2026
The accelerating adoption of artificial intelligence across United States healthcare systems has intensified concerns over cyber resilience, data privacy, and regulatory compliance, yet existing governance frameworks remain fragmented and difficult to compare. This study addresse...
Open access
Research Article10.9734/ajrcos/2026/v19i7880
This study examines the ethical and secure deployment of generative artificial intelligence in enterprise environments, with emphasis on innovation, data privacy, and risk governance. It addresses the gap between the rapid organisational adoption of generative AI systems and the...
Open access
Research Article10.9734/jerr/2026/v28i71943