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A novel privacy-preserving biometric authentication scheme.

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This study introduces BAZKP, a novel user-centric biometric authentication scheme. It ensures biometric data remains encrypted, enhancing security and privacy against server-centric vulnerabilities.

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Area of Science:

  • Computer Science
  • Cryptography
  • Information Security

Background:

  • Existing server-centric biometric authentication schemes pose privacy risks due to centralized data storage.
  • Users lack control over their biometric data, increasing vulnerability to breaches and misuse.

Purpose of the Study:

  • To propose a novel user-centric biometric authentication scheme (BAZKP) that enhances privacy and security.
  • To develop a system where biometric data remains encrypted and inaccessible to the server during authentication.

Main Methods:

  • Construction of the Euclidean Distance Zero-Knowledge Proof (EDZKP) protocol based on inner products.
  • Integration of the EDZKP protocol with the Cuproof protocol to create the BAZKP scheme.
  • Security analysis of BAZKP for completeness, soundness, and zero-knowledge properties.

Main Results:

  • The BAZKP scheme ensures all biometric data remains encrypted throughout the authentication process.
  • The server can verify if the Euclidean distance of secret vectors falls within a threshold without accessing raw data.
  • Security analysis confirmed BAZKP's adherence to completeness, soundness, and zero-knowledge principles.

Conclusions:

  • BAZKP offers a secure and privacy-preserving alternative to traditional server-centric biometric authentication.
  • The proposed system provides reliable authentication while safeguarding sensitive user biometric information.
  • User-centric design mitigates risks associated with centralized data management in biometric systems.