Handling electronic health records from the Internet of Medical Things is one of the most challenging research areas as it consists of sensitive information, which targets attackers. Also, dealing with modern healthcare systems is highly complex and expensive, requiring much secured storage space. However, blockchain technology can mitigate these problems through improved health record management. The proposed work develops a scalable, lightweight framework based on blockchain technology to improve COVID-19 data security, scalability and patient privacy. Initially, the COVID-19 related data records are hashed using the enhanced Merkle tree data structure. The hashed values are encrypted by lattice based cryptography with a Homomorphic proxy re-encryption scheme in which the input data are secured. After completing the encryption process, the blockchain uses inter planetary file system to store secured information. Finally, the Proof of Work concept is utilized to validate the security of the input COVID based data records. The proposed work's experimental setup is performed using the Python tool. The performance metrics like encryption time, re-encryption time, decryption time, overall processing time, and latency prove the efficacy of the proposed schemes.

中文翻译：

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具有重新加密方案的高效轻量级加密模型，可为 COVID-19 数据创建稳健的区块链架构

处理来自医疗物联网的电子健康记录是最具挑战性的研究领域之一，因为它包含针对攻击者的敏感信息。此外，处理现代医疗保健系统非常复杂且昂贵，需要大量安全的存储空间。然而，区块链技术可以通过改进健康记录管理来缓解这些问题。拟议的工作开发了一个基于区块链技术的可扩展、轻量级框架，以提高 COVID-19 数据安全性、可扩展性和患者隐私。最初，使用增强的 Merkle 树数据结构对与 COVID-19 相关的数据记录进行哈希处理。散列值由基于格的密码术和同态代理重新加密方案加密，其中输入数据是安全的。完成加密过程后，区块链使用星际文件系统来存储安全信息。最后，工作量证明概念用于验证输入的基于 COVID 的数据记录的安全性。拟议工作的实验设置是使用 Python 工具执行的。加密时间、重新加密时间、解密时间、总处理时间和延迟等性能指标证明了所提出方案的有效性。