Post-quantum cryptography (PQC) is a critical innovation for securing telemedicine patient data against emerging quantum computing threats. This study evaluates the vulnerabilities of existing encryption frameworks using data from the U.S. Department of Health & Human Service...
Open access
Research Article10.9734/ajrcos/2025/v18i3598
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
Adebayo Yusuf Balogun, Oluwaseun Oladeji Olaniyi, Anthony Obulor Olisa, Michael Olayinka Gbadebo & Noah Chukwufumnanya Chinye·Journal of Engineering Research and Reports·2025
This study explores the enhancement of incident response strategies in the U.S. healthcare sector, leveraging data from the Verizon Data Breach Investigations Report, the HHS Breach Portal, and the MITRE ATT&CK Framework. A quantitative methodology was employed, incorporating...
Open access
Research Article10.9734/jerr/2025/v27i21399
This study evaluates the state of data privacy and cybersecurity compliance within the U.S. healthcare sector, leveraging data from the U.S. Department of Health & Human Services Breach Portal, Verizon Data Breach Investigations Report, and the Health IT Dashboard. A quantita...
Open access
Research Article10.9734/ajrcos/2025/v18i1555
Emonena Patrick Obrik-Uloho, Gbenro Charles Opeke, Adebayo Yusuf Balogun, Rukayat Oluwabukola Olasege & Lisa Mmesoma Udechukwu·Journal of Engineering Research and Reports·2025
This research developed a predictive and cybersecurity-aware framework to uncover and leverage underreported clinical and operational signals within dark data embedded in digital health ecosystems. Addressing the paradox of data-rich yet insight-poor healthcare systems, the study...
Open access
Research Article10.9734/jerr/2025/v27i111696
This study explores the dual implications of Artificial Intelligence (AI)-driven Open Source Intelligence (OSINT) in enhancing cyber defense capabilities. Using publicly available datasets, including IBM X-Force breach metrics, MITRE ATT&CK adversarial tactics, GDPR privacy v...
Open access
Research Article10.9734/ajrcos/2025/v18i1554
The increasing sophistication of intelligent cyber warfare, in which adversaries exploit artificial intelligence to automate reconnaissance, generate polymorphic malware, and conduct machine-speed attacks, has rendered conventional perimeter security and static Zero Trust impleme...
Open access
Research Article10.9734/ajrcos/2026/v19i7882
This study proposes and quantitatively evaluates a secure-by-containment architectural framework for deploying agentic artificial intelligence (AI) within operational technology and industrial control system (OT/ICS) environments. Agentic AI systems introduce autonomous planning...
Open access
Research Article10.9734/ajrcos/2026/v19i3833
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 investigates the transformative role of artificial intelligence (AI) in state-sponsored cyber espionage, focusing on its dual use in offensive and defensive operations. Using data from the MITRE ATT&CK Framework, FireEye APT Groups Database, UNSW-NB15 Intrusion Det...
Open access
Research Article10.9734/ajrcos/2025/v18i1557
The rapid digitalisation of banking has increased exposure to financial cybercrime, while existing fraud-detection methods remain limited by single-modality data, class imbalance, concept drift, and poor explainability. This study developed and evaluated the Generative AI-Enhance...
Open access
Research Article10.9734/jerr/2026/v28i71953
The rapid deployment of fifth-generation (5G) networks and the adoption of network slicing have significantly enhanced connectivity and service customization, but they have also expanded the cyber-attack surface of telecommunications infrastructure. At the same time, emerging qua...
Open access
Research Article10.9734/jerr/2026/v28i31825
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
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
Onyinye Obioha-Val, Michael Olayinka Gbadebo, Oluwaseun Oladeji Olaniyi, Noah Chukwufumnanya Chinye & Adebayo Yusuf Balogun·Journal of Engineering Research and Reports·2025
This study investigates the regulatory and ethical dimensions of Open Source Intelligence (OSINT) and deepfake technologies, analyzing their impact on public trust, privacy, and societal stability. Using data from the Global Dataset of Events, Location, and Tone (GDELT), sentimen...
Open access
Research Article10.9734/jerr/2025/v27i21400