Articles
| Open Access | The Convergence of Patient-Centric Cryptography and Automated Compliance: A Comprehensive Framework for Secure Cloud-Assisted Healthcare Monitoring and Algorithmic Auditing
Stella Antonelli , Department of Cyber-Physical Systems, National University of Singapore, SingaporeAbstract
The paradigm shift towards cloud-assisted healthcare has introduced unprecedented efficiencies in patient monitoring and data management, yet it has simultaneously exposed sensitive medical information to a diverse array of cyber threats and regulatory complexities. This research provides an exhaustive analysis of the security architectures required to protect e-health infrastructures, focusing on the synthesis of patient-centric access control, compressive sensing, and automated compliance frameworks. By evaluating state-of-the-art cryptographic methods such as Patient Controlled Encryption (PCE) and checkable attribute-based encryption, the study identifies the mechanisms through which data sovereignty can be returned to the individual. Furthermore, the article explores the emerging concept of HIPAA-as-Code, a methodology for embedding automated audit trails directly into machine learning pipelines within cloud environments. Through a systematic review of networking challenges and prioritization of security controls using fuzzy analytic hierarchy processes, the research delineates the transition from traditional perimeter-based security to a zero-trust, code-defined governance model. The findings suggest that while intelligent data management and biometric authentication significantly harden cloud defenses, the future of healthcare security lies in the seamless integration of privacy-aware compressive sensing and automated, continuous regulatory auditing.
Keywords
Cloud Computing Security, Patient-Centric Access Control, HIPAA-as-Code, Compressive Sensing
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Copyright (c) 2025 Stella Antonelli
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