A Review on Design Development and Performance Assessment of QR Code based Secure User Identification System
Keywords:
EEG; Signal Processing; muscular artifacts; spike detection; Brain waves; ,Wavelet transform; Neural network; EEG lab.Abstract
Authentication is the process of securing and authenticating a user, usually by combining a username and password when logging in to an IT system or application. The various factors of certification are knowledge, ownership and inherent factors. In fact, the basis for certification is that the system will not be able to associate a certification factor with a particular entity without a proper form of identification. There are many security incidents happening around the world. The authentication system based on single factor knowledge, such as user name and password, is not enough to prevent authentication attacks. In this study, both ownership-based and biometric-based certifications have been investigated and five schemes have been developed that use smartcards, QR codes, encrypted QR codes and finger veins. The embedded data may be stolen because the two-dimensional code is not encrypted. So, developed an encrypted QR code. To illustrate the use of encrypted QR codes, use online banking certification. One-time passwords (OTPs) are encrypted and embedded in the QR code and displayed to users on the Bank's website. An improved verification scheme OTP-EQR has been developed. The method of encoding the data in the QR code is modified so that it is only readable by the corresponding QR code reader with the password. Other QR code reading software will not be able to read the data. QR codes generated using the proposed improved coding and encryption procedures have higher entropy, negative correlation coefficients and higher mean square error, indicating that the original image and the encrypted QR code are different and therefore safe. The existing and proposed methods both show higher entropy, and between them, the proposed encryption method gives a higher entropy.
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