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
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
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
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
This study examines security risks, emerging technologies, and cryptographic techniques in cloud-based digital currency transactions using a quantitative research approach. Data was sourced from the REKT Database, Web3 Security Report, and Elliptic Open Dataset, employing descrip...
Open access
Research Article10.9734/jerr/2025/v27i31416
This study explores the role of artificial intelligence (AI)-driven cybersecurity models in mitigating fraud, smart contract vulnerabilities, and regulatory challenges in cryptocurrency platforms. Utilizing datasets such as the Elliptic Bitcoin Dataset, SolidiFI-Benchmark, Crypto...
Open access
Research Article10.9734/ajrcos/2025/v18i3586
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
This study evaluates the effectiveness of cybersecurity frameworks in mitigating cyber threats in traditional banking while assessing their applicability to Decentralized Finance (DeFi). Using financial sector reports, cybersecurity incident databases, and DeFi security audits, w...
Open access
Research Article10.9734/ajrcos/2025/v18i3583
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
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
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
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
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
Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Damilola Comfort Babarinde, Seun Michael Oyekunle, Abayomi Titilola Olutimehin & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2025
The increasing adoption of cloud-based patient information systems in healthcare enhances efficiency and accessibility but introduces significant cybersecurity risks. Traditional encryption methods, such as RSA and ECC, are becoming vulnerable due to rapid advancements in quantum...
Open access
Research Article10.9734/ajrcos/2025/v18i4615
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
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