Akinde Michael Ogunmolu, Anuoluwapo Deborah Popoola, Ololade Zainab Adesokan, Asmau Abubakar Abdulmalik & Sunday Abayomi Joseph·Journal of Engineering Research and Reports·2026
The rapid evolution of Industry 4.0 and emerging Industry 5.0 paradigms has accelerated the adoption of autonomous cyber-physical systems (CPS) in smart manufacturing, creating a need for robust runtime policy orchestration to ensure governance, regulatory compliance, and resilie...
Open access
Research Article10.9734/jerr/2026/v28i41862
Akinde Michael Ogunmolu, Busola Motunrayo Olawale, Oluseun Babatunde Oladoyinbo, Omobolaji Olufunmilayo Olateju & Pelumi Damola Adeyinka·Journal of Engineering Research and Reports·2026
This research developed a simulation-based framework for quantifying the carbon footprint and operational efficiency of machine-speed cybersecurity defenses in autonomous industrial control systems (ICS) and smart manufacturing environments. Traditional high-energy intrusion dete...
Open access
Research Article10.9734/jerr/2026/v28i41860
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
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
This study investigates security-visibility challenges in cloud-native microservices by analysing adversarial behaviours using the MITRE ATT&CK container-techniques dataset, assessing observability limitations through time-series telemetry-coverage quantification applied to t...
Open access
Research Article10.9734/jerr/2026/v28i21786
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
Akinde Michael Ogunmolu, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Anthony Obulor Olisa & Oluwatobi Bamigbade·Journal of Energy Research and Reviews·2025
This research develops and validates autonomous artificial intelligence agents for fault detection and self-healing in smart manufacturing systems within the context of Industry 4.0, addressing critical challenges in operational efficiency and reliability. Motivated by the need t...
Open access
Research Article10.9734/jenrr/2025/v17i8445
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
The increasing complexity and vulnerability of modern energy systems underscore the urgent need for intelligent, resilient, and sustainable infrastructure solutions. However, challenges such as cybersecurity risks, ethical governance concerns, and interoperability barriers hinder...
Open access
Research Article10.9734/jenrr/2025/v17i7434
Insider threats present major challenges to energy facilities, particularly where traditional centralized detection systems fall short due to privacy concerns and data variability. This research introduces a federated detection system that integrates biomechanical access controls...
Open access
Research Article10.9734/jerr/2025/v27i61528
The increasing convergence of cyber and mechanical domains in critical energy infrastructure, including electric power grids, oil and gas pipelines, and renewable energy systems, has significantly expanded the attack surface for sophisticated cyber threats, particularly ransomwar...
Open access
Research Article10.9734/jerr/2025/v27i61523
This study investigates the integration of Generative Artificial Intelligence (AI) and Behavioral Biometrics within Zero Trust cybersecurity frameworks tailored for healthcare systems. Drawing on public datasets—including MITRE ATT&CK for Enterprise, UNSW Behavioral Biometric...
Open access
Research Article10.9734/jerr/2025/v27i51502
This study presents a comprehensive framework designed to enhance data security in artificial intelligence (AI) systems by integrating robust cybersecurity measures with information governance principles. Employing a convergent parallel mixed-methods design, the research combines...
Open access
Research Article10.9734/jerr/2025/v27i51500
Valerie Ojinika Ejiofor, Akinde Michael Ogunmolu, Michael Olayinka Gbadebo, Sunday Abayomi Joseph & Temilade Oluwatoyin Adesokan-Imran·Journal of Engineering Research and Reports·2025
This study investigates the application of artificial intelligence (AI) in managing cybersecurity risks associated with third-party vendors in healthcare systems. With third-party breaches accounting for a significant proportion of healthcare data compromises, this research seeks...
Open access
Research Article10.9734/jerr/2025/v27i51498
Adeyemi Adebukunola Ishekwene, Christopher Ugbong Akeke, Akinde Michael Ogunmolu, Busola Motunrayo Olawale & Cornelia Ifeoma Ejoh·Journal of Engineering Research and Reports·2026
Critical infrastructure operators increasingly deploy artificial intelligence (AI) to detect degradation, predict failures, optimise maintenance, identify cyber anomalies and support operational decisions. These capabilities create a plausible route to higher availability, reliab...
Open access
Research Article10.9734/jerr/2026/v28i81986
Abayomi Titilola Olutimehin, Oluwaseun Oladeji Olaniyi, Akinde Michael Ogunmolu, Faith Hauwa Oluwapamilerin Kolo & Isaac Adinoyi Salami·Journal of Engineering Research and Reports·2025
This study investigates the integration of cloud-based Artificial Intelligence (AI) solutions for real-time compliance and risk monitoring in e-commerce platforms, addressing the pressing need for scalable oversight as transaction volumes and complexities surge. Utilizing the Oli...
Open access
Research Article10.9734/jerr/2025/v27i71566
Faith Hauwa Oluwapamilerin Kolo, Sunday Abayomi Joseph, Akinde Michael Ogunmolu, Valerie Ojinika Ejiofor & Seun Michael Oyekunle·Journal of Engineering Research and Reports·2025
This study investigates how strategic third-party risk governance frameworks can mitigate cybersecurity threats in financial institutions. Using data from the Verizon Data Breach Investigations Report, the Basel Committee’s Quantitative Impact Study, and the Privacy Rights Cleari...
Open access
Research Article10.9734/jerr/2025/v27i51501
Adeyemi Adebukunola Ishekwene, Odunayo Sekinat Sobowale, Moses Abuobelye Akeke, Akinde Michael Ogunmolu & Busola Motunrayo Olawale·Journal of Engineering Research and Reports·2026
Transportation agencies are being asked to sustain ageing road, bridge and rail networks under tightening budgets, rising traffic loads and a changing climate, and artificial intelligence is increasingly presented as the mechanism through which asset management will become predic...
Open access
Research Article10.9734/jerr/2026/v28i81992
This study examines how prompt injection and training data poisoning compromise artificial intelligence (AI) systems operating within PCI DSS–protected financial environments and evaluates the adequacy of existing compliance controls in addressing these emerging threats. A multi-...
Open access
Research Article10.9734/ajrcos/2026/v19i3836
The rapid deployment of fifth-generation (5G) networks and the adoption of network slicing have significantly enhanced connectivity and service customization, but they have also expanded the cyber-attack surface of telecommunications infrastructure. At the same time, emerging qua...
Open access
Research Article10.9734/jerr/2026/v28i31825
Abayomi Titilola Olutimehin, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Akinde Michael Ogunmolu & Faith Hauwa Oluwapamilerin Kolo·Asian Journal of Research in Computer Science·2025
Predictive maintenance has emerged as a cornerstone of Industry 4.0, enabling manufacturers to proactively identify and address equipment failures, minimize unplanned downtime, and optimize operational costs. However, realizing effective predictive maintenance in smart manufactur...
Open access
Research Article10.9734/ajrcos/2025/v18i7724
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
Seun Michael Oyekunle, Anuoluwapo Deborah Popoola, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran·Asian Journal of Research in Computer Science·2025
This study investigates the integration of behavioural biometrics and data governance in enhancing fraud prevention systems within the banking sector. Behavioural biometrics refers to the analysis of unique patterns in user interactions—such as typing rhythm, mouse movement, and...
Open access
Research Article10.9734/ajrcos/2025/v18i5672
This study presents a hybrid federated learning and explainable artificial intelligence framework, termed RobustFL, designed to mitigate adversarial attacks in medical imaging while incorporating privacy-preserving mechanisms. Focusing on chest X-ray analysis, the research system...
Open access
Research Article10.9734/ajrcos/2026/v19i4852
Temitope Ibrahim Lawal, Abiodun Oluwaseun Ariyo, Damilola Abidemi Akinwunmi, Ololade Zainab Adesokan & Akinde Michael Ogunmolu·Journal of Engineering Research and Reports·2026
This study investigates how permission inheritance and machine-speed execution influence cybersecurity risk escalation in agentic artificial intelligence–driven cloud environments. A quantitative empirical design was adopted using a network-based privilege propagation model and s...
Open access
Research Article10.9734/jerr/2026/v28i41853
This study examines how autonomous artificial intelligence agents inherit and exercise digital permissions within enterprise and cloud computing environments and evaluates the security implications of applying traditional access control frameworks to agent-driven systems. A quant...
Open access
Research Article10.9734/jerr/2026/v28i31836
The rapid adoption of artificial intelligence (AI) in healthcare analytics has raised significant concerns regarding patient data privacy, security, and regulatory compliance. This study develops a Privacy-by-Design (PbD) data governance model tailored for AI-driven healthcare an...
Open access
Research Article10.9734/ajrcos/2026/v19i3835
Interconnected networks such as supply chains, energy systems, transportation, telecommunications, digital platforms, and healthcare increasingly face disruptions from supply shortages, cyber threats, and sudden demand surges. This study proposes an integrated AI-driven resilienc...
Open access
Research Article10.9734/jerr/2026/v28i31822
Timilehin Emmanuel Odeyinka, Cornelia Ifeoma Ejoh, Asmau Abubakar Abdulmalik, Isaac Adinoyi Salami & Akinde Michael Ogunmolu·Journal of Engineering Research and Reports·2026
This research addresses governance and security gaps in autonomous artificial intelligence systems deployed within distributed cloud healthcare environments by proposing an integrated framework combining AI-driven governance, adaptive certification, behavioral authentication, and...
Open access
Research Article10.9734/jerr/2026/v28i11783