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Lightweight back-up and efficient restoration method of health block chain data encryption keys

The invention provides a lightweight back-up and efficient restoration method of health block chain data encryption keys.Body area networks achieve physiological parameters acquisition of healthy body health, health block chains are produced by a group of credible IT devices appointed by multiple health institutions and used for receiving and storing health data of the body area networks, the health block chain data encryption keys are produced by utilizing a fuzzy technology fuzzy vault and physiological signals acquired by the body area networks, human physiological data acquired in different time periods is encrypted by utilizing different data encryption keys and then is saved in the block chains of the IT devices without storage of historical data encryption keys; historical secret keys are restored by utilizing the health data acquired by the body area networks in real time.The lightweight back-up and efficient restoration method integrates the body area networks with the health block chains, avoids huge burden brought by secret key splitting related in a traditional secret key restoration method and safe storage and retrieval of shadow secret keys and greatly reduces management complexity of the health block chain data encryption keys.
Owner:QILU UNIV OF TECH

Finger vein recognition system

The invention discloses a finger vein recognizing system which belongs to the technical field of biometric identification. The invention further discloses equipment which comprises a finger vein image collecting device, an image processing device and an image recognizing and storing device. The image collecting device is connected with the image processing device through a USB interface, and the image processing device is connected with the mage recognizing and storing device through the USB interface. The finger vein recognizing system comprises two modes: an authentication mode and a recognition mode, wherein, the authentication mode is used for verifying whether a person to be verified is a designated person or not, that is, a user first selects a corresponding user number when the system verification is performed; after finger vein images of the person to be verified are collected, a comparison is made between the finger vein images and the template which is stored in a database and corresponds to the user number, so that whether the user is valid or not can be determined; the recognition mode is used for verifying which registered person the person to be verified is, that is, a comparison is made between finger vein image characteristics of the user and the template of the user in the database; and then a template number with the greatest similarity is found, so as to determine the identity of the person to be verified.
Owner:SHANDONG UNIV
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