Olufunke Cynthia Metibemu, Temilade Oluwatoyin Adesokan-Imran, Adekunbi Justina Ajayi, Olufisayo Juliana Tiwo, Abayomi Titilola Olutimehin & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
Cloud misconfigurations in financial Software-as-a-Service (SaaS) applications pose significant cybersecurity risks, leading to data breaches, financial losses, and reputational harm. This study utilizes data from the Cloud Security Alliance (CSA) Top Threats Dataset, Verizon Dat...
Open access
Research Article10.9734/jerr/2025/v27i31442
This study examines financial risk management in digital-only banking by analyzing fraud and cybersecurity threats using quantitative methodologies. Leveraging Verizon’s Data Breach Investigations Report (2024), the European Central Bank Cyber Resilience Oversight Report (2023),...
Open access
Research Article10.9734/ajrcos/2025/v18i3603
Adebayo Yusuf Balogun, Olufunke Cynthia Metibemu, Abayomi Titilola Olutimehin, Adekunbi Justina Ajayi, Damilola Comfort Babarinde & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
This study examines the ethical and legal implications of Shadow AI in healthcare, finance, and education by analyzing unauthorized AI deployments and their impact on data privacy, cybersecurity, and regulatory compliance. Using a quantitative research approach, descriptive stati...
Open access
Research Article10.9734/jerr/2025/v27i31414
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
Adekunbi Justina Ajayi, Sunday Abayomi Joseph, Olufunke Cynthia Metibemu, Abayomi Titilola Olutimehin, Adebayo Yusuf Balogun & Oluwaseun Oladeji Olaniyi·Archives of Current Research International·2025
Artificial intelligence (AI) is revolutionizing cybersecurity in digital currency transactions by enhancing fraud detection and risk mitigation. This study leverages machine learning techniques, including logistic regression and random forest classifiers, to evaluate AI’s efficac...
Open access
Research Article10.9734/acri/2025/v25i21090
Abayomi Titilola Olutimehin, Adekunbi Justina Ajayi, Olufunke Cynthia Metibemu, Adebayo Yusuf Balogun, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
Adversarial attacks pose a critical threat to the reliability of AI-driven systems, exploiting vulnerabilities at the data, model, and deployment levels. This study employs a quantitative analysis using the CIFAR-10 Adversarial Examples Dataset from IBM’s Adversarial Robustness T...
Open access
Research Article10.9734/jerr/2025/v27i21413
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
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
Isaac Adinoyi Salami, Temilade Oluwatoyin Adesokan-Imran, Olufisayo Juliana Tiwo, Olufunke Cynthia Metibemu, Abayomi Titilola Olutimehin & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2025
The increasing reliance on artificial intelligence (AI) in credit scoring has raised concerns about algorithmic bias and data privacy, necessitating robust cybersecurity risk assessment frameworks. This study investigates the role of cybersecurity risk assessment in mitigating th...
Open access
Research Article10.9734/ajrcos/2025/v18i4608
Ademola Oluwaseun Salako, Temilade Oluwatoyin Adesokan-Imran, Olufisayo Juliana Tiwo, Olufunke Cynthia Metibemu, Ogechukwu Scholastica Onyenaucheya & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
This study addresses confidentiality challenges in financial Distributed Ledger Systems (DLS) using Secure Multi-Party Computation (SMPC). By analyzing real-world datasets, it evaluates privacy risks, protocol efficiency, and system resilience. Findings highlight SMPC’s role in e...
Open access
Research Article10.9734/jerr/2025/v27i31439
Abayomi Titilola Olutimehin, Sunday Abayomi Joseph, Adekunbi Justina Ajayi, Olufunke Cynthia Metibemu, Adebayo Yusuf Balogun & Oluwaseun Oladeji Olaniyi·Archives of Current Research International·2025
This study evaluates the feasibility of post-quantum cryptographic (PQC) algorithms in mitigating "Harvest Now, Decrypt Later" (HNDL) attacks as quantum computing advances threaten classical encryption. Using datasets from the NIST Post-Quantum Cryptography Project, Deloitte’s PQ...
Open access
Research Article10.9734/acri/2025/v25i31098