Digital identity with biometrics is the future of how individuals will be identified in this digital era. Although there are current solutions that provide digital identity, the research reveals that traditional solutions lack security for biometric data, making them vulnerable to biometric data breaches, and data lost with difficulties to recover. This study discusses the importance of protecting our identities, as identity theft is increasing rapidly due to the rise of identity verification online. A comprehensive review on protecting identity using biometrics and Zero Knowledge Proofs has been conducted. A novel biometric system architecture based on Zero Knowledge Proofs has been proposed, ensuring that verification of an identity is performed without exposing biometric data. This architecture also includes a reference data engine for updating biometrics data in case of a breach, to improve security and overcome challenges faced by traditional biometric systems. The proposed architecture can be used to secure identities while preserving privacy.

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Securing Individual’s Identity Using ZKP: Proposed System Architecture

  • Sthembile Ntshangase,
  • Kedimotse Baruni,
  • Siphelele Myaka,
  • Oyena Mahlasela

摘要

Digital identity with biometrics is the future of how individuals will be identified in this digital era. Although there are current solutions that provide digital identity, the research reveals that traditional solutions lack security for biometric data, making them vulnerable to biometric data breaches, and data lost with difficulties to recover. This study discusses the importance of protecting our identities, as identity theft is increasing rapidly due to the rise of identity verification online. A comprehensive review on protecting identity using biometrics and Zero Knowledge Proofs has been conducted. A novel biometric system architecture based on Zero Knowledge Proofs has been proposed, ensuring that verification of an identity is performed without exposing biometric data. This architecture also includes a reference data engine for updating biometrics data in case of a breach, to improve security and overcome challenges faced by traditional biometric systems. The proposed architecture can be used to secure identities while preserving privacy.