Sustainable and Trustworthy Digital Health: Privacy-Preserving, Verifiable IoT Monitoring Aligned with SDGs
Linshen Yang,
Xinyan Wang and
Yingjun Jiao ()
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Linshen Yang: College of Philosophy and Society, Jilin University, Changchun 130012, China
Xinyan Wang: College of Physical Education, Jilin University, Changchun 130012, China
Yingjun Jiao: College of Physical Education, Jilin University, Changchun 130012, China
Sustainability, 2025, vol. 17, issue 20, 1-19
Abstract:
The integration of Internet of Things (IoT) technologies into public healthcare enables continuous monitoring and sustainable health management. However, conventional frameworks often depend on transmitting and storing raw personal data on centralized servers, posing challenges related to privacy, security, ethical compliance, and long-term sustainability. This study proposes a privacy-preserving framework that avoids the exposure of true health-related data. Sensor nodes encrypt collected measurements and collaborate with a secure computation core to evaluate health indicators under homomorphic encryption, maintaining confidentiality. For example, the system can determine whether a patient’s heart rate within a monitoring window falls inside clinically recommended thresholds, while the framework remains general enough to support a wide range of encrypted computations. A compliance verification client generates zero-knowledge range proofs, allowing external parties to verify whether health indicators meet predefined conditions without accessing actual values. Simulation results confirm the correctness of encrypted computation, controllability of threshold-based compliance judgments, and resistance to inference attacks. The proposed framework provides a practical solution for secure, auditable, and sustainable real-time health assessment in IoT-enabled public healthcare systems.
Keywords: IoT-enabled public health; privacy-preserving healthcare systems; sustainable health monitoring; homomorphic encryption; zero-knowledge proofs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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