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Privacy preserving zero-knowledge proof and face recognition

隐私保护零知识证明和人脸识别

基本信息

批准号：
560302-2020
负责人：
Hatzinakos, Dimitrios
金额：
$ 1.82万
依托单位：
University of Toronto
依托单位国家：
加拿大
项目类别：
Alliance Grants
财政年份：
2020
资助国家：
加拿大
起止时间：
2020-01-01 至 2021-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=706396
关键词：
Privacy preserving zero knowledge proof

项目摘要

Research objective of this work is to design, develop and implement a secure and privacy preserving, user centric approach based authentication framework for the banking sector by incorporating face recognition biometric systems together with the features of zero knowledge proof and blind signatures. The proposed research work is based on user's face recognition and will make the user authentication, from user's own handheld device to the online financial organization services, without conveying any information about the biometric other than that the face biometric is true. Our work novelty comes from incorporating two advanced technologies, AI based facial recognition and cryptographic measures together to enhance security and privacy. Simultaneously, all the communication process in the system is secured via cryptographic measures, blind signatures and zero knowledge proof that makes an adversary probability to eavesdrop the system at most negligible. The plan is to bring a revolutionary change in the financial sector where users can use only their biometric to access their accounts. Implementation of the proposed system will provide the safe and seamless operations and reduce the complexity of end users and financial organizations. We are confident that this research can positively impact Organizations and will lead to a pivotal role in controlling and preventing cyber attacks.

本文的研究目标是将人脸识别生物识别系统与零知识证明和盲签名相结合，设计、开发和实现一种安全的、保护隐私的、以用户为中心的银行身份认证框架。提出的研究工作基于用户的人脸识别，从用户自己的手持设备到在线金融机构服务，都将对用户进行身份验证，除了人脸生物特征真实之外，不会传达任何关于生物特征的信息。我们的工作新颖性来自于将基于人工智能的面部识别和加密措施这两项先进技术结合在一起，以增强安全性和隐私。同时，系统中的所有通信过程都通过密码措施、盲签名和零知识证明来保护，使得对手窃听系统的可能性最小。该计划将给金融行业带来革命性的变化，用户只能使用他们的生物识别来访问他们的账户。拟议系统的实施将提供安全和无缝的业务，并降低最终用户和财务组织的复杂性。我们相信，这项研究将对组织产生积极影响，并将在控制和预防网络攻击方面发挥关键作用。