Zero-Trust Privacy Enforcement and Threat-Aware Monitoring in Consumer Healthcare Systems
Document Type
Article
Source of Publication
IEEE Transactions on Consumer Electronics
Publication Date
1-1-2026
Abstract
Consumer healthcare applications increasingly rely on AI-driven monitoring, IoMT devices, and continuous data collection, creating critical challenges involving privacy, unauthorized access, excessive surveillance, and secure healthcaredata management. This paper proposes a zero-trust, threataware architecture that integrates context-aware computer vision, blockchain-based decentralized access control, and zero-knowledge proofs for privacy-preserving healthcare monitoring. The framework filters incoming streams to retain only healthcare-relevant events; encrypted records remain off-chain, whereas hashes, access decisions, consent states, and audit logs are recorded on a consortium blockchain. Zero-knowledge proofs support confidential authorization, whereas reputation-aware trust management and blockchain-enabled incentives promote reliable participation and discourage malicious behavior. Clinical events, including falls and abnormal postures, are detected through a CNN-LSTM model, while cybersecurity threats are identified through policy evaluation, transaction validation, and behavioral monitoring. Across 30 independent runs under varied workloads and attack conditions, the proposed architecture achieved a 54.5% reduction in data-access time, a 52.4% reduction in breach-response time, and a 78.1% reduction in privacy and integrity incidents compared with a conventional architecture. Simulated participation increased by 43.7% after incentive deployment across 12 monthly scenarios. These results indicate improved efficiency, privacy preservation, and threat responsiveness for AI-enabled consumer healthcare monitoring.
DOI Link
ISSN
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Disciplines
Computer Sciences
Keywords
Blockchain, Computer Vision, Healthcare Monitoring, Privacy Preservation, Zero-Knowledge Proofs, Zero-Trust Security
Scopus ID
Recommended Citation
Arshad, Usama; Tubaishat, Abdallah; Alarfaj, Fawaz; Halim, Zahid; Anwar, Sajid; Alfuhaid, Hisham; and Waqas, Muhammad, "Zero-Trust Privacy Enforcement and Threat-Aware Monitoring in Consumer Healthcare Systems" (2026). All Works. 8348.
https://zuscholars.zu.ac.ae/works/8348
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository