11 Facts About Private biometrics

1.

Private biometrics is a form of encrypted biometrics, called privacy-preserving biometric authentication methods, in which the biometric payload is a one-way, homomorphically encrypted feature vector that is 0.

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2.

The purpose of private biometrics is to allow a person to be identified or authenticated while guaranteeing individual privacy and fundamental human rights by only operating on biometric data in the encrypted space.

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3.

Some private biometrics including fingerprint authentication methods, face authentication methods, and identity-matching algorithms according to bodily features.

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4.

Private biometrics are constantly evolving based on the changing nature of privacy needs, identity theft, and biotechnology.

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5.

Private biometrics enables passive encryption, the most difficult requirement of the US Department of Defense Trusted Computer System Evaluation Criteria.

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6.

Private biometrics technology is an enabling technology for applications and operating systems—but itself does not directly address—the auditing and constant protection concepts introduced in the TCSEC.

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7.

Cancelable Private biometrics were defined in these communications as biometric templates that were unique for every application and that, if lost, could be easily cancelled and replaced.

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8.

Cancelable Private biometrics were deemed useful because of their diversity, reusability and one-way encryption.

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9.

Indeed, it was first claimed that the BioHashing technique had achieved perfect accuracy for faces, fingerprints and palm prints, and the method gained further traction when its extremely low error rates were combined with the claim that its biometric data was secure against loss because factoring the inner products of Private biometrics feature and TRN was an intractable problem.

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10.

Biometric cryptosystems used cryptography to provide the system with cryptographic keys protection and Private biometrics to provide the system with dynamically generated keys to secure the template and biometric system.

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11.

Two-way partially homomorphic encryption method for private biometrics was similar to the today's private biometrics in that it offered protection of biometric feature data through the use of homomorphic encryption and measured the similarity of encrypted feature data by metrics such as the Hamming and the Euclidean distances.

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