Oluwadayo Mafolasere Olaniyi, Suleiman S. Abba, Christopher Ugbong Akeke, Faith Hauwa Oluwapamilerin Kolo & Moses Abuobelye Akeke·Journal of Engineering Research and Reports·2026
Autonomous AI agents powered by large language models increasingly operate with unrestricted communication and publishing capabilities, creating critical security vulnerabilities through memory poisoning attacks that corrupt long-term agent memory and propagate falsified outputs...
Open access
Research Article10.9734/jerr/2026/v28i51894
Detecting multi-layered financial crime networks remains a major challenge in anti-money laundering (AML) due to high false positives, evolving adversarial behaviors, limited relational modeling, and stringent regulatory requirements for transparency and auditability. This study...
Open access
Research Article10.9734/jerr/2026/v28i21787
Oluwadayo Mafolasere Olaniyi, Olubukola Omolara Adebiyi, Cornelia Ifeoma Ejoh, Oluwabukola Oluwaseun Afolabi & Valerie Ojinika Ejiofor·Asian Journal of Research in Computer Science·2026
This study develops and validates a conversational AI–powered fraud prevention framework for real-time transaction security in augmented reality (AR) e-commerce environments. Adopting an explanatory sequential mixed-methods methodology, the research integrates architectural frame...
Open access
Research Article10.9734/ajrcos/2026/v19i1817
The rapid growth of e-commerce has intensified cybersecurity challenges, as organizations face increasingly complex and adaptive threats that traditional detection systems struggle to manage. Although machine learning (ML) offers predictive and adaptive capabilities for intrusion...
Open access
Research Article10.9734/jerr/2025/v27i111707
This study develops and validates a Machine Learning Scaling Framework (ML-SF) for e-commerce cybersecurity, addressing the critical gap between model adoption and sustainable operational scalability. Drawing on the Technology Organization Environment (TOE) framework and Dynamic...
Open access
Research Article10.9734/ajrcos/2025/v18i11781
This study quantitatively investigates the adoption of machine learning (ML) for cybersecurity in e-commerce through the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Using the open-access Mendeley “UTAUT, Combining PLS-SEM and MLR” dataset and the OECD/BC...
Open access
Research Article10.9734/jerr/2025/v27i111701
Suleiman S. Abba, Oluwadayo Mafolasere Olaniyi, Odunayo Sekinat Sobowale, Sunday Abayomi Joseph & Abayomi Titilola Olutimehin·Journal of Engineering Research and Reports·2026
Enterprise cybersecurity has shifted from perimeter defence toward continuously verified architectures, yet zero trust, layered defence, and formal risk governance are typically adopted in isolation, producing fragmented estates in which expenditure rises while measurable resilie...
Open access
Research Article10.9734/jerr/2026/v28i81984
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
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
Abayomi Titilola Olutimehin, Oluwadayo Mafolasere Olaniyi, Adegbenga Ismaila Alao, Oluwaseun Oladeji Olaniyi & Ololade Zainab Adesokan·Asian Journal of Research in Computer Science·2026
Agentic AI has strong potential to boost productivity and growth, but current evidence suggests it is more likely reinforcing existing core–periphery inequalities than fundamentally reshaping the global economic order, due to uneven access, capabilities, and institutional readine...
Open access
Research Article10.9734/ajrcos/2026/v19i5859
This study proposes and quantitatively evaluates a secure-by-containment architectural framework for deploying agentic artificial intelligence (AI) within operational technology and industrial control system (OT/ICS) environments. Agentic AI systems introduce autonomous planning...
Open access
Research Article10.9734/ajrcos/2026/v19i3833
Suleiman S. Abba, Oluwadayo Mafolasere Olaniyi, Oluseun Babatunde Oladoyinbo, Olalekan Jamiu Okunleye & Valerie Ojinika Ejiofor·Journal of Engineering Research and Reports·2025
This study explores how artificial intelligence (AI) can automate cybersecurity certification to improve efficiency, transparency, and governance accountability. It responds to a critical challenge in digital governance the slow, manual, and often inconsistent nature of certifica...
Open access
Research Article10.9734/jerr/2025/v27i121728
Lisa Mmesoma Udechukwu, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Omobolaji Olufunmilayo Olateju & Rukayat Oluwabukola Olasege·Asian Journal of Research in Computer Science·2025
This research developed a blockchain-enabled framework to enhance secure credentialing and access management for remote healthcare providers and patients across fragmented digital health platforms. Addressing inefficiencies in traditional systems such as lengthy verification dela...
Open access
Research Article10.9734/ajrcos/2025/v18i11776
Seun Michael Oyekunle, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Michael Olayinka Gbadebo & Rukayat Oluwabukola Olasege·Journal of Engineering Research and Reports·2025
The growing complexity and volume of health data have exposed critical limitations in traditional, static data processing systems, creating an urgent need for adaptive AI pipelines that can support scalable, secure, and governance-compliant population health analytics. This study...
Open access
Research Article10.9734/jerr/2025/v27i101677
Akinde Michael Ogunmolu, Suleiman S. Abba, Oluwadayo Mafolasere Olaniyi, Timilehin Emmanuel Odeyinka & Isaac Adinoyi Salami·Journal of Engineering Research and Reports·2026
Rapid digitalization and the adoption of large language models in executive workflows have heightened cybersecurity risks, particularly AI-enabled impersonation and authority abuse. This study develops and evaluates an adaptive cognitive profiling framework for executive AI agent...
Open access
Research Article10.9734/jerr/2026/v28i11784
This research presents a behavioral biometrics-powered continuous authentication framework designed for zero-trust remote work environments in healthcare. The study integrated keystroke dynamics, mouse movement patterns, and contextual risk factors into a multimodal system enabli...
Open access
Research Article10.9734/ajrcos/2025/v18i12788
Information privacy and data security governance increasingly depend on sustained human attention: employees must interpret warnings, follow changing policies, report anomalies, manage credentials, make disclosure decisions and repeatedly consent to data practices. Yet governance...
Open access
Research Article10.9734/ajrcos/2026/v19i8898