A dynamic matrix conversion method fusing physiological feature keys
By using a dynamic matrix transformation method that integrates physiological feature keys, and combining fingerprint and iris features with timestamps to generate dynamic matrix parameters for encryption, this method solves the problem of insufficient security in high-privacy data encryption in existing technologies. It achieves efficient dynamic key updates and encryption, thereby improving the security of data transmission.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XUZHOU HENGJIA ELECTRONIC TECH CO LTD
- Filing Date
- 2026-05-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing data encryption technologies are insufficient in protecting personal medical data with high privacy requirements. Their key update mechanisms are imperfect, and their encryption methods are fixed and easily cracked.
A dynamic matrix transformation method integrating physiological feature keys is adopted. Fingerprint texture features and iris feature vectors are collected by optical fingerprint sensor and near-infrared camera. The dynamic matrix parameters are generated by combining timestamps for encryption. The key is updated periodically. The SHA-256 hash algorithm and AES encryption algorithm are used, and matrix operations are combined to encrypt and decrypt the data.
It improves the security and dynamism of keys, enhances the security of data encryption, meets high privacy requirements, ensures the timeliness and integrity of keys, and reduces the risk of being cracked.
Smart Images
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