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Privacy Data Protection Scheme for Patients with Major Outbreaks
Journal of Frontiers of Computer Science and Technology ; 16(2):359-371, 2022.
Article in Chinese | Scopus | ID: covidwho-1893004
ABSTRACT
In 2020, the global outbreak of COVID-19 made the global healthcare system face huge test, and the security of COVID-19 patients privacy data is an extremely important part of the healthcare information system. During the outbreak, there were numerous cases of privacy data leakage of Chinese patients with COVID-19, which caused great distress to patients. This paper proposes a patient privacy data protection scheme combined with blockchain for major epidemics using delegated Byzantine fault tolerant (dBFT) mechanism. The scheme is based on a federated chain, distributing different players such as government agencies, medical institutions and the public in a dual-chain model of main and side chains, and using side chain technology to interact with information between the main and side chains for secure sharing of patient data. It proposes the on-chain hierarchical data encryption scheme (HDES), which protects the patient privacy data on the chain at a fine-grained level using hierarchical encryption technology. Finally, the requested data throughput of the main-side dual-chain model and the encryption and decryption efficiency of the HDES scheme are experimentally analyzed and compared with the existing blockchain electronic medical case scheme. The comparison results show that this scheme has certain efficiency, strong security and high relevance. © 2022, Journal of Computer Engineering and Applications Beijing Co., Ltd.;Science Press. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Journal of Frontiers of Computer Science and Technology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Journal of Frontiers of Computer Science and Technology Year: 2022 Document Type: Article