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Lisa Mmesoma Udechukwu

0009-0000-8516-6146

Publications (6)

Information Governance Framework for AI-Generated Synthetic Patient Data in Healthcare Research: Balancing Utility, Privacy and Algorithmic Bias Mitigation

Lisa Mmesoma Udechukwu, Gbenro Charles Opeke, Emonena Patrick Obrik-Uloho, Olufunke Cynthia Metibemu & Rukayat Oluwabukola Olasege · Asian Journal of Advanced Research and Reports · 2025

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 Article 10.9734/ajarr/2025/v19i111193

Blockchain-Enabled Secure Credentialing and Access Management for Remote Healthcare Providers and Patients Across Fragmented Digital Health Platforms

Lisa Mmesoma Udechukwu, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Omobolaji Olufunmilayo Olateju & Rukayat Oluwabukola Olasege · Asian Journal of Research in Computer Science · 2025

This research developed a blockchain-enabled framework to enhance secure credentialing and access management for remote healthcare providers and patients across fragmented digital health platforms. Addressing inefficiencies in traditional systems such as lengthy verification dela...

Open access Research Article 10.9734/ajrcos/2025/v18i11776

AI-Driven Adversarial Defense Framework with Generative Adversarial Network for Secure Healthcare IoT Ecosystems

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 Article 10.9734/acri/2025/v25i101556

Ethical Implications and Cybersecurity Risks of Hyper-Personalized AI Feedback Systems for Mental Health Support in Home Environment

Lisa Mmesoma Udechukwu · Journal of Engineering Research and Reports · 2025

This study explores the ethical implications and cybersecurity risks of hyper-personalized AI feedback systems designed for mental health support in home settings, examining both their transformative potential and associated challenges. The introduction opens by emphasizing the g...

Open access Research Article 10.9734/jerr/2025/v27i91643

AI-Governed Security Frameworks for Virtualized Enterprises: Preventing Data Breaches and Ensuring Compliance

Lisa Mmesoma Udechukwu · Asian Journal of Research in Computer Science · 2025

This study investigates the role of artificial intelligence AI–governed security frameworks in addressing cybersecurity risks, preventing data breaches, and ensuring regulatory compliance in virtualized enterprises. Virtualization technologies have enhanced scalability and effici...

Open access Research Article 10.9734/ajrcos/2025/v18i9753

Proactive Cyber-Threat Intelligence and Predictive Analytics for Protecting At-Home Medical IoT Devices against Zero-Day Exploits

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 Article 10.9734/jerr/2025/v27i111696