BioZero: An Efficient and Privacy-Preserving Decentralized Biometric Authentication Protocol on Open Blockchain
<|reference_start|>BioZero: An Efficient and Privacy-Preserving Decentralized Biometric Authentication Protocol on Open Blockchain: Digital identity plays a vital role in enabling secure access to resources and services in the digital world. Traditional identity authentication methods, such as password-based and biometric authentications, have limitations in terms of security, privacy, and scalability. Decentralized authentication approaches leveraging blockchain technology have emerged as a promising solution. However, existing decentralized authentication methods often rely on indirect identity verification (e.g. using passwords or digital signatures as authentication credentials) and face challenges such as Sybil attacks. In this paper, we propose BioZero, an efficient and privacy-preserving decentralized biometric authentication protocol that can be implemented on open blockchain. BioZero leverages Pedersen commitment and homomorphic computation to protect user biometric privacy while enabling efficient verification. We enhance the protocol with non-interactive homomorphic computation and employ zero-knowledge proofs for secure on-chain verification. The unique aspect of BioZero is that it is fully decentralized and can be executed by blockchain smart contracts in a very efficient way. We analyze the security of BioZero and validate its performance through a prototype implementation. The results demonstrate the effectiveness, efficiency, and security of BioZero in decentralized authentication scenarios. Our work contributes to the advancement of decentralized identity authentication using biometrics.<|reference_end|>
@article{lai2024biozero:,
    title={BioZero: An Efficient and Privacy-Preserving Decentralized Biometric
  Authentication Protocol on Open Blockchain},
    author={Junhao Lai, Taotao Wang, Shengli Zhang, Qing Yang, and Soung Chang
  Liew},
    journal={arXiv preprint arXiv:2409.17509},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.17509},
    primaryClass={cs.CR}
}