The study evaluates the synergistic potential of AI-driven threat detection and Blockchain-enabled data integrity mechanisms, demonstrating that integrated AI-Blockchain frameworks achieve 94.3% reduction in unauthorized access attempts and 98.08% diagnostic accuracy in privacy-preserving analytics.
This narrative review draws together peer-reviewed literature from 2020 to 2026 on AI-driven privacy-preserving techniques like federated learning, differential privacy, homomorphic encryption, secure multi-party computation, and blockchain-AI hybrids applied to US healthcare cybersecurity to strengthen privacy alongsi...
Isaiah Thompson Ocansey, Mary Magdalene Linda Yeboah· Magna Scientia Advanced Rese...· 0 citations
Generative Artificial Intelligence (GenAI) offers transformative potential for cybersecurity, enabling automation, adaptability, and intelligence against increasingly sophisticated threats. This paper examines the development, training, and deployment of GenAI models for threat detection, anomaly analysis, incident res...
C. Moremada, Engin Zeydan, Madhusanka Liyanage· 2026 International Conferenc...· 0 citations
The conclusion presents directions for systemic change, pointing to the need for a more integrated regulatory model combining legal, technical and organizational standards with investments in competencies, infrastructure and building institutional resilience.
Agnieszka Jankowska· Discourse of Law and Adminis...· 0 citations
A novel, unified governance framework centred on digital trust is proposed that distinctly integrates the AI Trust Framework and Maturity Model (AI TMM), the Tiered Ethical Cybersecurity Model (TECM), and privacy preserving technologies such as federated learning to operationalize ethics by design.
Muhammad Faris bin Nordin, Muhammad Din bin Khalid, Normal Mat Jusoh· International journal of res...· 0 citations
This paper is a systematic review of recent research into blockchain‐based healthcare solutions which includes an examination of recent research development, technological frameworks, and current trends and presents several possible research directions toward creating patient‐centric healthcare systems.
S. Roy, J. Kumar· WIREs Data Mining and Knowle...· 0 citations
A thorough study of 41 peer-reviewed research papers from January 2018 through May 2025 revealed the current state of security vulnerabilities and resilience strategies in healthcare IoT systems and provides a comprehensive analysis of security threats at the device, network, and application levels.
M. R. M. Hanan, M. J. A. Sabani· Sri Lankan Journal of Techno...· 0 citations
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