A medical data sharing method combining quantum randomness and dynamic identity identification

By combining quantum randomness with dynamic identity identification in a medical data sharing method, the shortcomings of medical data sharing schemes in terms of security and interoperability are resolved. This enables efficient and secure cross-domain data sharing and privacy protection, and improves the system's interoperability efficiency and storage performance.

CN122365463APending Publication Date: 2026-07-10CHANGCHUN UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGCHUN UNIV
Filing Date
2026-04-14
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing medical data sharing solutions have shortcomings in terms of security, privacy protection, and inter-institutional interoperability. In particular, traditional key generation schemes are at risk of being brute-forced, and reliance on a single long-term identity can compromise the security of all historical medical records.

Method used

By combining quantum randomness with dynamic identity identification, a protection system of "one visit, one identity, one key" is constructed. Dynamic identity DID is generated through quantum random salt value Qsalt, and cross-domain data sharing is achieved by using zero-knowledge proof and consortium blockchain technology to ensure data security and privacy controllability.

Benefits of technology

It significantly enhances the security and privacy control of medical data sharing, enables efficient cross-domain collaboration, avoids the risk of centralized leakage, ensures the decoupling of identity and medical record data, and improves the interoperability efficiency and storage performance of the system in large-scale medical scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to a medical data sharing method combining quantum randomness and dynamic identity identification, belonging to the field of medical information security. Through the deep integration of quantum randomness and dynamic identity identification, the security and privacy controllability of medical data sharing are significantly enhanced. The method utilizes quantum random salt (Qsalt) to endow dynamic identity (DID) and derived keys with physical-level unpredictability, coupled with a Master_Seed stored only on the patient's terminal to achieve "one-time password" protection, fundamentally avoiding the risk of centralized leakage. Adhering to a patient-centric approach, it achieves on-demand authorization and fine-grained control through locally restored identity sets, ensuring complete decoupling of identity identification and medical record data, and strictly following the principle of minimum exposure. In cross-regional scenarios, zero-knowledge proof technology is introduced to complete trusted anonymous authentication without exposing sensitive information, achieving efficient cross-domain collaboration where data is "usable but not visible." Furthermore, through a collaborative architecture of blockchain notarization and IPFS distributed storage, storage pressure and notarization logic are scientifically separated, significantly improving the interoperability efficiency and storage performance of the system in large-scale medical scenarios while ensuring data immutability and traceability.
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