Chinyere Nelson Amaeze

Adaptive and Intelligent Security for Healthcare Databases in the United States: A Critical Narrative Review of Artificial Intelligence and Machine Learning Innovations, Threats and Policy Gaps

Chinyere Nelson Amaeze & Ezekiel Dauda Gambo · Journal of Scientific Research and Reports · 2026

Background: Healthcare databases in the United States, including electronic health record systems, claims repositories, imaging archives and research data warehouses, have become high-value targets for ransomware, credential theft, insider misuse and privacy attacks. Artificial i...

Open access Research Article 10.9734/jsrr/2026/v32i104526

Implementing Zero-Trust Architecture and Advanced Encryption Techniques in Healthcare Data Systems: A Simulation-based Evaluation of an Adaptive, AI-Driven Security Framework

Chinyere Nelson Amaeze & Ezekiel Dauda Gambo · Advances in Research · 2026

Background: Healthcare data systems in the United States face a threat environment in which conventional perimeter-based security architectures are increasingly mismatched to cloud-connected, vendor-dependent, and Internet of Medical Things (IoMT)-enabled clinical infrastructure....

Open access Research Article 10.9734/air/2026/v27i41685