Efficient privacy-preserving online medical pre-diagnosis based on blockchain

【Author】 Zhou, Sufang; Fan, Jianing; Yuan, Ke; Du, Xiaoyu; Jia, Chunfu

【Source】JOURNAL OF SUPERCOMPUTING

【影响因子】2.557

【Abstract】This paper proposes an online medical pre-diagnosis scheme based on blockchain. It mainly focuses on the problems faced in the medical diagnosis scheme nowadays, such as the huge scale of medical treatment, the lack of data sharing, the impossibility of pursuing responsibility, etc., and constructs a safe and reliable online medical diagnosis scheme by using the characteristics of blockchain technology, such as traceability, decentralization, and openness and transparency. In this paper, the existing homomorphic encryption algorithm is first improved, and the algorithm homomorphism is utilized to generate a public key, which is able to diagnose the data in an encrypted state and ensure the security of the private key. When storing medical data, the original medical data are stored with the help of IPFS file system, and the hash value of medical records is chosen to be stored on the blockchain, which realizes the openness, transparency, and traceability of the data, which can effectively protect the privacy of the data, and also realize the effective pursuit of medical accidents. The specific security analysis, functional comparison, and performance analysis of the scheme further demonstrate that the scheme can safely and efficiently execute online medical pre-diagnosis programs.

【Keywords】Privacy protection; Encryption algorithm; Blockchain; Medical diagnosis

【发表时间】2025 JAN

【收录时间】2024-11-09

【文献类型】案例研究

【主题类别】

区块链应用-实体经济-医疗领域