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 Article10.9734/jerr/2025/v27i41469
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
Cybersecurity governance is increasingly recognized as a cornerstone of national security, especially in protecting critical infrastructure sectors such as energy, healthcare, finance, telecommunications, and transportation. This study investigates how governance frameworks, IT a...
Open access
Research Article10.9734/ajrcos/2025/v18i4621
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
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
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
Seun Michael Oyekunle, Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Adekunbi Justina Ajayi, Ademola Oluwaseun Salako & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
The increasing adoption of cloud-based Electronic Health Records (EHRs) has transformed healthcare by enhancing data accessibility, interoperability, and patient care efficiency. However, this transition has also introduced new cybersecurity vulnerabilities, with ransomware emerg...
Open access
Research Article10.9734/jerr/2025/v27i31444
Lisa Mmesoma Udechukwu, Tunbosun Oyewale Oladoyinbo, Nanyeneke Ravana Mayeke, Temilade Oluwatoyin Adesokan-Imran & Rukayat Oluwabukola Olasege·Archives of Current Research International·2025
This study developed and assessed an AI-driven adversarial defense framework using Generative Adversarial Networks (GANs) to secure healthcare IoT ecosystems against rising cybersecurity threats in medical settings. The research drew on datasets (CICIoMT2024, WUSTL-EHMS-2020, BoT...
Open access
Research Article10.9734/acri/2025/v25i101556
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
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
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
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 Article10.9734/ajrcos/2025/v18i4632