Temilade Oluwatoyin Adesokan-Imran, Anuoluwapo Deborah Popoola, Valerie Ojinika Ejiofor, Ademola Oluwaseun Salako & Ogechukwu Scholastica Onyenaucheya·Journal of Engineering Research and Reports·2025
This study investigates the application of artificial intelligence (AI) and machine learning (ML) in predictive cybersecurity risk modeling within the healthcare sector. Given the increasing digitization of healthcare systems and the corresponding rise in cyber threats, it is cru...
Open access
Research Article10.9734/jerr/2025/v27i41463
Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Damilola Comfort Babarinde, Isaac Adinoyi Salami, Ogechukwu Scholastica Onyenaucheya & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2025
Telemedicine’s rapid expansion has improved healthcare accessibility but has also increased cybersecurity risks, particularly AI-powered phishing attacks that exploit authentication vulnerabilities. Patient data breaches are rising due to sophisticated phishing schemes targeting...
Open access
Research Article10.9734/ajrcos/2025/v18i4610
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