QB-IMD: A secure medical data processing system with privacy protection based on quantum blockchain for IoMTShow others and affiliations
2024 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 11, no 1, p. 40-49Article in journal (Refereed) Published
Abstract [en]
Security and privacy are issues that cannot be ignored when collecting and processing medical data in the Internet of Medical Things (IoMT). Blockchain technology is a decentralized ledger system that has diverse application scenarios in the medical field. Blockchain technology relies on traditional cryptography to ensure data integrity and verifiability, but the creation of quantum computing has made it possible to break traditional encryption and signature methods. Therefore, quantum blockchain can provide a higher level of security for handling medical data. This paper innovatively designs a new medical data processing system based on quantum blockchain (QB-IMD). In QB-IMD, a quantum blockchain structure and a novel electronic medical record algorithm (QEMR) are proposed to ensure that the processed data is legitimate and tamper-proof. QEMR combines quantum signature and quantum identity authentication to avoid the potential security risks of digital signatures. In addition, through delegated computing by quantum cloud, medical diagnostic data can be computed without leaking to quantum cloud servers, thus protecting user privacy. Through mathematical proof, theoretical analysis and simulation, it is demonstrated that our scheme can resist six attacks and is feasible to protect user privacy. © IEEE
Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2024. Vol. 11, no 1, p. 40-49
Keywords [en]
blockchain, Blockchains, delegated computing, Internet of Things, IoMT, Medical diagnostic imaging, Privacy, quantum blockchain, Quantum computing, quantum cryptography, Security, Sensors
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:hh:diva-51440DOI: 10.1109/JIOT.2023.3285388Scopus ID: 2-s2.0-85162708335OAI: oai:DiVA.org:hh-51440DiVA, id: diva2:1788932
Note
Funding: 10.13039/501100001809 - National Natural Science Foundation of China (Grant Number: 61373131, 62071240); Researchers Supporting Project number (RSP2023R34), King Saud University, Riyadh, Saudi Arabia (Grant Number: RSP2023R34)
2023-08-172023-08-172025-10-01Bibliographically approved