ArticleSensors (Basel, Switzerland)2023
HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- A blockchain technology with advanced lightweight symmetric cryptography schemes and smart security framework for healthcare wireless body area networks.Scientific reports · 2026Article
- ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT.Sensors (Basel, Switzerland) · 2026Article
- A privacy preserving medical data management framework using blockchain enabled encrypted role based access control.Scientific reports · 2025Article
- Dual attention-based deep learning with blockchain for multimedia data processing and secure access control in IoHT.Scientific reports · 2025Article
- A Survey on Privacy Preservation Techniques in IoT Systems.Sensors (Basel, Switzerland) · 2025Review
- An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data.Scientific reports · 2025Article
- Construction of evolutionary stability and signal game model for privacy protection in the internet of things.Scientific reports · 2025Article
- Securing IoT Sensors Using Sharding-Based Blockchain Network Technology Integration: A Systematic Review.Sensors (Basel, Switzerland) · 2025Review
- Optimizing Proof-of-Work for Secure Health Data Blockchain Using Compute Unified Device Architecture.Blockchain in healthcare today · 2025Article
- Development prospects of "Internet + medical and health services" in Shandong: application status and public acceptance.Frontiers in public health · 2025Article
- Privacy preservation in blockchain-based healthcare data sharing: A systematic review.Peer-to-peer networking and applications · 2025Review
- Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing.Scientific reports · 2024Article
- Searchable Blockchain-Based Healthcare Information Exchange System to Enhance Privacy Preserving and Data Usability.Sensors (Basel, Switzerland) · 2024Article
- A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning.Sensors (Basel, Switzerland) · 2024Article
- Article
- An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning.Sensors (Basel, Switzerland) · 2023Article
- Enhancing IoT Security through a Green and Sustainable Federated Learning Platform: Leveraging Efficient Encryption and the Quondam Signature Algorithm.Sensors (Basel, Switzerland) · 2023Article
- RETRACTED: Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning.Sensors (Basel, Switzerland) · 2023Article
- Emerging Technologies for 6G Communication Networks: Machine Learning Approaches.Sensors (Basel, Switzerland) · 2023Review
- Securing Secrets in Cyber-Physical Systems: A Cutting-Edge Privacy Approach with Consortium Blockchain.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The swift advancement of the Internet of Things (IoT), coupled with the growing application of healthcare software in this area, has given rise to significant worries about the protection and confidentiality of critical health data. To address these challenges, blockchain technology has emerged as a promising solution, providing decentralized and immutable data storage and transparent transaction records. However, traditional blockchain systems still face limitations in terms of preserving data privacy. This paper proposes a novel approach to enhancing privacy preservation in IoT-based healthcare applications using homomorphic encryption techniques combined with blockchain technology. Homomorphic encryption facilitates the performance of calculations on encrypted data without requiring decryption, thus safeguarding the data's privacy throughout the computational process. The encrypted data can be processed and analyzed by authorized parties without revealing the actual contents, thereby protecting patient privacy. Furthermore, our approach incorporates smart contracts within the blockchain network to enforce access control and to define data-sharing policies. These smart contracts provide fine-grained permission settings, which ensure that only authorized entities can access and utilize the encrypted data. These settings protect the data from being viewed by unauthorized parties. In addition, our system generates an audit record of all data transactions, which improves both accountability and transparency. We have provided a comparative evaluation with the standard models, taking into account factors such as communication expense, transaction volume, and security. The findings of our experiments suggest that our strategy protects the confidentiality of the data while at the same time enabling effective data processing and analysis. In conclusion, the combination of homomorphic encryption and blockchain technology presents a solution that is both resilient and protective of users' privacy for healthcare applications integrated with IoT. This strategy offers a safe and open setting for the management and exchange of sensitive patient medical data, while simultaneously preserving the confidentiality of the patients involved.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.