Emonena Patrick Obrik-Uloho, Michael Olayinka Gbadebo, Oluwabukola Oluwaseun Afolabi, Sunday Abayomi Joseph, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2026
This study critically evaluates WhatsApp’s security ecosystem through a shared responsibility framework, examining the interaction between platform safeguards, usability, and user accountability. A mixed-methods approach was employed, integrating four open-access cybersecurity da...
Open access
Research Article10.9734/ajrcos/2026/v19i1807
Emonena Patrick Obrik-Uloho, Oluwaseun Oladeji Olaniyi, Olubukola Omolara Adebiyi, Rukayat Oluwabukola Olasege & Seun Michael Oyekunle·Asian Journal of Research in Computer Science·2025
This study developed a predictive framework to uncover underreported clinical signals hidden within dark data in digital health systems, addressing the paradox of abundant data but limited insights. It highlighted the importance of dark data, unanalyzed clinical records and the p...
Open access
Research Article10.9734/ajrcos/2025/v18i11779
Emonena Patrick Obrik-Uloho, Gbenro Charles Opeke, Adebayo Yusuf Balogun, Rukayat Oluwabukola Olasege & Lisa Mmesoma Udechukwu·Journal of Engineering Research and Reports·2025
This research developed a predictive and cybersecurity-aware framework to uncover and leverage underreported clinical and operational signals within dark data embedded in digital health ecosystems. Addressing the paradox of data-rich yet insight-poor healthcare systems, the study...
Open access
Research Article10.9734/jerr/2025/v27i111696
Emonena Patrick Obrik-Uloho, Valerie Ojinika Ejiofor, Chukwudalu Henry Egonwanne, Faith Hauwa Oluwapamilerin Kolo & Rukayat Oluwabukola Olasege·Archives of Current Research International·2025
The rapid digital transformation of healthcare through smart hospitals driven by AI, IoMT, cloud computing, and telemedicine has heightened cyber vulnerabilities, with 276 million records breached globally in 2024. This study developed a Zero Trust Architecture (ZTA) blueprint to...
Open access
Research Article10.9734/acri/2025/v25i101557
This study addresses the persistent failure of static trust models including perimeter defenses, multi-factor authentication (MFA), and PCI-DSS compliance to detect insider threats and account takeovers (ATO) after initial authentication. Using the LANL Unified Host and Network D...
Open access
Research Article10.9734/jerr/2025/v27i101676
Artificial intelligence systems increasingly mediate consequential decisions in credit allocation, healthcare triage, employment screening and public administration, yet the data underpinning these decisions is frequently incomplete, mislabelled, stale or quietly altered as it mo...
Open access
Research Article10.9734/ajrcos/2026/v19i8892
Akinde Michael Ogunmolu, Emonena Patrick Obrik-Uloho, Oluwaseun Oladeji Olaniyi, Aisha Temitope Arigbabu & Oluwatobi Bamigbade·Journal of Engineering Research and Reports·2025
This study investigates the systemic propagation of cyber risks between traditional financial institutions (TradFi) and decentralized finance (DeFi) infrastructures, focusing on oracles as critical conduits for contagion. Using publicly available datasets—including MITRE ATT&...
Open access
Research Article10.9734/jerr/2025/v27i71565
Oluwatobi Bamigbade, Emonena Patrick Obrik-Uloho, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran·Journal of Energy Research and Reviews·2025
Zero-carbon grids increasingly rely on pervasive sensing and AI-driven automation, yet most learning engines still assume clean, synchronous data and bolt-on security tools. We introduce a six-layer, data-centric AI framework that (i) raises data quality before inference, (ii) fu...
Open access
Research Article10.9734/jenrr/2025/v17i7442
This study develops and validates an information governance framework for AI-generated synthetic patient data in healthcare research, balancing data utility, privacy, and algorithmic bias mitigation. The introduction positions the framework as a response to stringent privacy regu...
Open access
Research Article10.9734/ajarr/2025/v19i111193
Seun Michael Oyekunle, Oluwaseun Oladeji Olaniyi, Emonena Patrick Obrik-Uloho, Olufisayo Juliana Tiwo & Rukayat Oluwabukola Olasege·Journal of Engineering Research and Reports·2025
This study investigates self-healing health records through the development of autonomous data integrity models for corruption-resistant Electronic Medical Records (EMRs). Using a convergent parallel mixed-methods design, a systematic review of 204 studies (2010–2025) identified...
Open access
Research Article10.9734/jerr/2025/v27i111685
Chukwudalu Henry Egonwanne, Oluwaseun Oladeji Olaniyi, Adebukola Oluyinka Eweoya, Emonena Patrick Obrik-Uloho & Rukayat Oluwabukola Olasege·Asian Journal of Research in Computer Science·2025
Ensuring privacy in AI-driven telehealth analytics remains a persistent challenge, as conventional cryptographic methods struggle to meet real-time and compliance requirements. This research developed and validated an AI-driven homomorphic encryption framework for secure real-tim...
Open access
Research Article10.9734/ajrcos/2025/v18i11775
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 Article10.9734/jerr/2026/v28i41859