35 results about "Fuzzy vault" patented technology

Provided is a method for polynomial reconstruction in a fuzzy vault system, which includes receiving a set of matching minutiae to select a minutiae combination to be used for the polynomial reconstruction; generating simultaneous equations using the selected minutiae combination; determining whether a root of the simultaneous equations exists; and reconstructing the polynomial using the selected minutiae combination when the root of the simultaneous equations exists. The high-speed processing polynomial reconstruction method may perform polynomial reconstruction in real time, without using a separate key of a user, and thus may be applicable to various types of fuzzy vault systems.

A biometric register includes: a feature extraction unit for performing preprocessing for a fingerprint to extract a feature point m for the fingerprint; a transformation function generation unit for generating a transformation function which is composed of an arbitrary rotation matrix and an arbitrary vector; and a template generation unit for transforming a coordinate of the feature point m using the generated transformation function, and organizing a fuzzy vault using a randomly generated fake feature point and a feature point m1 applied by the transformed coordinate, thereby generating a one-time template.

The invention relates to a fingerprint fuzzy vault method based on a threshold secret sharing scheme. The method comprises a shared key distribution phase and a shared key reconstruction phase. The shared key distribution phase further comprises a binding process of the fingerprint fuzzy vault and a user subkey, and a shared key binding process. The shared key reconstruction phase further comprises a releasing process of partial user subkeys and a releasing process of the shared key. When the fingerprint fuzzy vault method is used to protect the shared key, the shared key is safely and conveniently released through fingerprint characteristics of the user. The releasing process of the key is very simple, and thus the key sharing scheme is more practical.

The invention provides a Fuzzy Vault encryption method based on secret sharing. This method combines Fuzzy Vault and secret sharing system to protect messages. In the encryption process, the sender generates a pair of master encryption key and master decryption key, the master encryption key encrypts the message, and then uses the master decryption key to generate n sub-decryption keys through the secret sharing system, and the n sub-decryption keys shared by the message Each receiver provides a set of its fingerprint detail point information set and constructs n Fuzzy Vault system binding sub-decryption keys. During the decryption process, when the recipients of m shared messages provide the fingerprint minutiae information sets used in the encryption process, and input the respective minutiae information sets into the corresponding Fuzzy Vault system for encryption, m sub-decryption keys are decrypted by The secret sharing system uses m sub-decryption keys to recover the master decryption key. The invention overcomes the message deadlock problem of the Fuzzy Vault system of a single biometric feature; realizes the indirect protection of fingerprint minutiae information; and effectively protects the safety of shared information.

The invention belongs to the technical field of software system account key management application, and specifically discloses a method and system for online information trusteeship that integrates biometric encryption technology, including the following steps, confirming the availability of a user account through a mobile phone number or email account and a verification code; Collect user biometrics; use biometric fuzzy vault algorithm to encrypt escrow information; upload and store encrypted escrow information; download encrypted escrow information; collect combined timing actions to complete live detection; use biometric fuzzy vault algorithm to complete escrow information reverse decryption; Supports automatic destruction of download information. The beneficial effects of the online information trusteeship method and system of the fusion biometric feature encryption technology of the present invention are: 1. Increase the amount of data supported by the fuzzy vault algorithm through the fusion of multiple biometric features; 2. Effectively fight against hackers through the action sequence live detection Imitation of a living body; 3. To ensure information security without requiring the user to enter a password.

The invention relates to an identity authentication method based on a fuzzy vault and a digital certificate, wherein the digital certificate and fingerprint identification are combined in a smart card, so that the digital identity and the physical identity of a user correspond to realize the identity authentication with high safety. The method comprises the following steps of: firstly generating an RSA key pair in a user UK, and sending a public key and relevant registration information to an RA for auditing by the user UK; when the auditing is passed, transferring user information to a CA for verification by the RA; after the verification is successful, generating the digital certificate for the user and sending to the user to be stored in the UK by the CA; and inputting a fingerprint in the UK by the registered user, extracting the true detail points in the fingerprint, dispensing the true detail points into the UK and a fingerprint server, and locking the PIN of the UK by the true detail points of the user, so that the digital certificate stored in the UK and a corresponding private key can be safely protected. In order to reduce the calculation amount of the smart card, a secret sharing method is introduced, so that only when the information in both the smart card and the server can be obtained, the PIN of the smart card can be recovered to release the digital certificate containing the private key.

The invention discloses a method for realizing a finger vein fusion fuzzy vault. The present invention specifically includes the following steps: Step 1, fusing finger vein skeleton information on finger vein A and finger vein B images to obtain vein skeleton image C, extracting feature points to obtain a feature information set and extracting the feature information set. Step 2. Use the locking algorithm to bind the key to be protected with the feature set in the first step to generate a finger vein fusion fuzzy vault. Step 3. Using the verified query finger veins A' and B', fuse their finger vein skeleton information to obtain a vein skeleton image C', extract feature information, and use an unlocking algorithm to extract a key from the finger vein fuzzy vault. The present invention uses the fuzzy vault generated by finger vein image fusion to realize key protection, which has strong security and high implementation efficiency, and ensures that only legitimate users can extract the key with CRC verification function under the legal finger vein, ensuring the key Confidentiality, integrity, availability of secure storage.

The present invention relates to a fuzzy control method, a storage medium and a computer device of a bench control system, mainly comprising: collecting historical data sets; clustering the historical data sets by using the FCM algorithm, and obtaining the data-intensive areas in the clustered historical data subsets value as the maximum value of the membership function, and use the membership function to divide the subset of historical data into fuzzy sets; construct a fuzzy control model based on Wang-Mendel algorithm; obtain expert experience data as training data, and use supervised learning methods to train fuzzy control model; input the fuzzy set into the trained fuzzy control model to obtain the fuzzy rule set; define the fuzzy rules with different conditions in the fuzzy rule set as adjacent rules, use the adjacent rules to complement the incomplete fuzzy rules in the fuzzy library, and obtain new Fuzzy rule set; input a new fuzzy rule set to the bench control system for PID parameter self-tuning.