School of IT, UNITAR International University, Petaling Jaya 47301, Malaysia.
Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Sensors (Basel). 2023 Jul 28;23(15):6762. doi: 10.3390/s23156762.
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.
物联网 (IoT) 的快速发展,加上医疗保健软件在这一领域的广泛应用,引发了人们对关键健康数据保护和保密的重大担忧。为了解决这些挑战,区块链技术作为一种有前途的解决方案应运而生,提供了去中心化和不可变的数据存储以及透明的交易记录。然而,传统的区块链系统在保护数据隐私方面仍然存在局限性。本文提出了一种使用同态加密技术结合区块链技术增强基于物联网的医疗保健应用程序中隐私保护的新方法。同态加密允许在不要求解密的情况下对加密数据进行计算,从而在整个计算过程中保护数据的隐私。经过授权的各方可以处理和分析加密数据,而无需透露实际内容,从而保护患者隐私。此外,我们的方法在区块链网络中结合了智能合约来实施访问控制和定义数据共享策略。这些智能合约提供了细粒度的权限设置,确保只有授权实体可以访问和使用加密数据。这些设置保护数据不被未经授权的各方查看。此外,我们的系统生成所有数据交易的审计记录,提高了问责制和透明度。我们还针对标准模型进行了比较评估,考虑了通信费用、交易量和安全性等因素。实验结果表明,我们的策略在保护数据机密性的同时,还能够有效地进行数据处理和分析。总之,同态加密和区块链技术的结合为与物联网集成的医疗保健应用程序提供了一种既具有弹性又能保护用户隐私的解决方案。该策略为管理和交换敏感患者医疗数据提供了安全和开放的环境,同时保护了涉及的患者的隐私。