Personal health data identity authentication matching scheme based on blockchain

Abstract

Although medical informatization is gradually improving, the security and privacy of personal health data are still vulnerable to threats under the traditional electronic data storage mode. At the same time, when an individual goes to a medical institution to see a doctor, the individual is not present, and the personal health data does not match the individual’s identity, resulting in a medical accident. In severe cases, it may even threaten the safety of the individual’s life. In addition, patients can not extract the existing personal health data in real time when the smart card is lost. In response to the above problems, a blockchain-based personal health data identity authentication matching scheme is proposed, which has the characteristics of data immutability and decentralization. Using fuzzy extraction technology to extract personal biometrics to generate random keys can effectively solve the problem of biometrics being unusable after the biometrics are leaked. Through smart contracts, the random key can be authenticated to achieve identity matching. The security performance analysis of the model shows that the proposed solution has security attributes such as anti-man-in-the-middle attack and anti-replay attack, and can realize anti-tampering of personal health data, and effectively protect privacy; under the premise of ensuring data security, through intelligent the contract performs access control, and personal health data can be accurately authenticated and matched with personal identity.