Privacy preserving zero-knowledge proof and face recognition

这项工作的研究目标是通过将人脸识别生物识别系统与零知识证明和盲签名的特征结合起来，为银行业设计、开发和实施一个安全、隐私保护、以用户为中心的身份验证框架。所提出的研究工作基于用户的面部识别，将从用户自己的手持设备到在线金融机构服务进行用户身份验证，除了面部生物识别是真实的之外，不传递任何有关生物识别的信息。 我们工作的新颖之处在于将两种先进技术结合在一起，即基于人工智能的面部识别和加密措施，以增强安全性和隐私性。 同时，系统中的所有通信过程都通过加密措施、盲签名和零知识证明来确保安全，这使得对手窃听系统的可能性最多可以忽略不计。该计划旨在为金融领域带来革命性的变化，用户只能使用生物识别技术来访问他们的账户。拟议系统的实施将提供安全、无缝的操作，并降低最终用户和金融组织的复杂性。 我们相信，这项研究可以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。

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.