Skip to content
F

Faith Hauwa Oluwapamilerin Kolo

0009-0004-5681-2064

Publications (12)

Responsible AI for Cybersecurity: Assessing the Barriers, Biases and Governance Gaps in Implementation with E-commerce Systems

Faith Hauwa Oluwapamilerin Kolo · Journal of Engineering Research and Reports · 2025

Building on the findings of Obioha-Val (2024), which reveal both the transformative potential of AI and the risks associated with unregulated or opaque implementation, this study investigates the responsible deployment of AI-driven cybersecurity systems in e-commerce by examining...

Open access Research Article 10.9734/jerr/2025/v27i51520

Mitigating Cybersecurity Risks in Financial Institutions through Strategic Third- Party Risk Governance Frameworks

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 Article 10.9734/jerr/2025/v27i51501

From Framework to Practice: Barriers and Enablers to RMF Adoption in Mid-sized Enterprises

Faith Hauwa Oluwapamilerin Kolo · Asian Journal of Research in Computer Science · 2025

This study investigates the barriers and enablers influencing the adoption of the Risk Management Framework (RMF) in mid-sized software development enterprises through a quantitative research design. Four datasets were analyzed:  the Stack Overflow Developer Survey, ENISA Threat...

Open access Research Article 10.9734/ajrcos/2025/v18i5667

A Multi-level Clustering Framework for Cybersecurity Risk Stratification in Healthcare: A Dynamic, Overlapping Approach to Threat Classification and Mitigation

Faith Hauwa Oluwapamilerin Kolo · Asian Journal of Research in Computer Science · 2025

The increasing frequency and complexity of cyberattacks targeting the healthcare sector demand innovative approaches to threat classification and mitigation. As healthcare institutions increasingly depend on interconnected digital systems to manage sensitive data, the risk of bre...

Open access Research Article 10.9734/ajrcos/2025/v18i5636

Data-Centric AI for Zero-Carbon Power Systems Security: A Framework for Learning with Noisy, Sparse, and Heterogeneous Data

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 Article 10.9734/jenrr/2025/v17i7442

Intelligent Fraud Prevention Information Banking: A Data Governance- Centric Approach Using Behavioural Biometrics

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 Article 10.9734/ajrcos/2025/v18i5672

Cybersecurity Risk Stratification Framework Using Multilevel Clustering: An Automated Threat Attribution and Categorization Approach for Cross-industry Cybersecurity

Temilade Oluwatoyin Adesokan-Imran, Anuoluwapo Deborah Popoola, Faith Hauwa Oluwapamilerin Kolo, Valerie Ojinika Ejiofor & Isaac Adinoyi Salami · Journal of Engineering Research and Reports · 2025

This study introduces a novel Multilevel Clustering Framework designed for automated threat attribution and categorization across various industries using a comprehensive dataset from the MITRE ATT&CK repository. The methodology integrates K-means Clustering, Hierarchical Clu...

Open access Research Article 10.9734/jerr/2025/v27i41469

Security Risks of Autonomous AI Agents with Unrestricted Communication and Publishing Capabilities

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 Article 10.9734/jerr/2026/v28i51894

Zero-Trust Architecture for Smart Hospitals: A Virtual Blueprint for Cyber-resilient Healthcare Infrastructure

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 Article 10.9734/acri/2025/v25i101557

Cloud-Based AI Solutions for Real-time Monitoring of E-commerce Compliance and Risk

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 Article 10.9734/jerr/2025/v27i71566

AI- Powered Behavioural Biometrics for Fraud Detection in Digital Banking: A Next-Generation Approach to Financial Cybersecurity

Isaac Adinoyi Salami, Anuoluwapo Deborah Popoola, Michael Olayinka Gbadebo, Faith Hauwa Oluwapamilerin Kolo & Temilade Oluwatoyin Adesokan-Imran · Asian Journal of Research in Computer Science · 2025

This study investigates the limitations of traditional fraud detection techniques in digital banking and explores the applicability of AI-powered behavioral biometrics as a next-generation solution for enhancing cybersecurity. Using publicly available datasets, including the PayS...

Open access Research Article 10.9734/ajrcos/2025/v18i4632

AI and IoT Integration for Predictive Maintenance and Risk Management in Smart Manufacturing

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 Article 10.9734/ajrcos/2025/v18i7724