Blockchain-based Scalable and Secure EHR Data Sharing using Proxy Re-Encryption

Naresh Sammeta, L. Parthiban
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Abstract

Electronic Health Record (EHR) includes highly sensitive data like medical images, prescriptions, medical test result, medical history of patients, etc., These sensitive data cannot be transmitted in its original form in the network due to security issues. Hence, encryption is done prior to transmission. To increase the speed of data transfer and to overcome the storage issues, data is usually transferred through the cloud. Hence, to ensure the security and scalability of the data, a third-party encryption called re-encryption is performed at the proxy cloud. This re-encryption ensures that the data can be reliably transmitted through the network. In this research, a novel scheme called block-chain based EHR data sharing using chaotic re-encryption (BC-EDS-CR) is proposed. In the proposed scheme, re-encryption is performed using chaos theory. The proposed re-encryption scheme ensures that the cloud administrator cannot access the medical data. Metrics such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index (SSIM), entropy and correlation coefficient are used in evaluating this scheme. It was found that the proposed scheme outperforms the existing methods by achieving a PSNR of 57.66, SSIM of 0.985 and MSE of 0.058.
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使用代理重新加密的基于区块链的可扩展和安全的EHR数据共享
电子健康记录(Electronic Health Record, EHR)包含医疗图像、处方、医疗检查结果、患者病史等高度敏感的数据,由于安全问题,这些敏感数据无法在网络中以原始形式传输。因此,加密是在传输之前完成的。为了提高数据传输的速度并克服存储问题,数据通常通过云传输。因此,为了确保数据的安全性和可伸缩性,在代理云上执行称为重新加密的第三方加密。这种重新加密确保了数据可以通过网络可靠地传输。本研究提出了一种基于区块链的混沌重加密EHR数据共享方案(BC-EDS-CR)。在该方案中,利用混沌理论进行重加密。提出的重新加密方案可确保云管理员无法访问医疗数据。采用峰值信噪比(PSNR)、均方误差(MSE)、结构相似指数(SSIM)、熵和相关系数等指标对该方案进行评价。结果表明,该方案的PSNR为57.66,SSIM为0.985,MSE为0.058,优于现有方法。
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