Cloud based biometric authenticated solutions

Abstract

newlineThe use of biometric authentication systems to solve fundamental issues in the security and newlineprivacy of cloud computing. In this approach, user data would still be mitigated with newlinerespect to user privacy and access would be secured with a hardware authentication system newlinethat does not affect cloud service providers. The system generates a unique signature for newlinetransaction authentication through biometric verification to achieve secure access to data newlinewith less regard for the performance burden on popular cloud service models like PaaS, newlineSaaS, and IaaS. newlineThe study highlights the usage of crypto-biometric systems, protecting externally stored newlinebiometric templates with AES encryption to ensure privacy laws are followed and to reduce newlinethreats like man-in-the-middle attacks. Furthermore, to improve the resilience of facial newlinerecognition systems and achieve high accuracy and low latency for a variety of newlineapplications, sophisticated approaches combining deep learning, edge computing, and IoT newlinenetworks have been used. Real-time biometric authentication technology that can newlinedistinguish between a phony and true human face. Print images, video projections on newlinecomputer screens, silicon masks, and even sophisticated 3D-rendered human models are newlineall examples of phony faces. uses the special characteristics of the Fourier spectrum to newlinedifferentiate between real and fake faces in the frequency domain, enabling Non newlineCooperative Detection with increased reliability. The Live authentication system used newlineFaceNet having Verification Rate of 97.8%.