Xu Zhigang, Zheng Enda, Han Hongmu, Dong Xinhua, Dang Xiaohong, Wang Zhongpeng
School of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Sci Rep. 2024 Oct 8;14(1):23470. doi: 10.1038/s41598-024-73554-x.
Enhancing data privacy security in medical data sharing is crucial for the informatization development in the healthcare sector. This paper proposes a healthcare data sharing scheme based on two-dimensional chaotic mapping and blockchain (2DCM-DS). Specifically, a new two-dimensional chaotic mapping is proposed, which demonstrates superior chaotic performance. Then, by incorporating biometric audio information as an identity credential and integrating it with the proposed two-dimensional chaotic mapping, we design a data encryption method that establishes a strongly coupled and bi-directionally verifiable data ownership relationship in healthcare data sharing. Finally, we employ blockchain as the underlying network and design corresponding smart contracts to support 2DCM-DS. This approach addresses potential issues of unauthorized access, malicious tampering, and single points of failure in centralized data sharing. Experimental results demonstrate that 2DCM-DS effectively protects data security under the specified attack models. The results validate the security and efficiency of the 2DCM-DS, proving its application potential in healthcare insurance data sharing scenarios.
加强医疗数据共享中的数据隐私安全对于医疗保健领域的信息化发展至关重要。本文提出了一种基于二维混沌映射和区块链的医疗数据共享方案（2DCM-DS）。具体而言，提出了一种新的二维混沌映射，其展现出卓越的混沌性能。然后，通过将生物特征音频信息作为身份凭证并将其与所提出的二维混沌映射相结合，我们设计了一种数据加密方法，该方法在医疗数据共享中建立了强耦合且双向可验证的数据所有权关系。最后，我们采用区块链作为底层网络并设计相应的智能合约来支持2DCM-DS。这种方法解决了集中式数据共享中未经授权访问、恶意篡改和单点故障等潜在问题。实验结果表明，2DCM-DS在指定的攻击模型下能有效保护数据安全。这些结果验证了2DCM-DS的安全性和效率，证明了其在医疗保险数据共享场景中的应用潜力。
