An XML transformed method to Enhancement effectiveness of Password Authentication System using Graphical Images

Abstract

A crucial part of the security infrastructure is now set up for user authentication and data security. Most users choose text passwords as a means of protecting the security and privacy of their computer system. However, there is always a potential that someone will enter their password in an unsafe method or choose a weak or insecure one. By leveraging the simplicity of image recall over word memory for authentication, graphic passwords are an effective alternative to conventional text passwords. This study presents an XML-transformed Method for improving the Effectiveness of a password authentication system utilising graphical images.  The server analyzes the password image with the graphical pattern when a user loads it, using drift and stroke length to confirm its authenticity. Several graphical pattern types emerge when the input pattern is made vulnerable to various changes. When a user enters a password image, the password pattern is extracted and mapped from the recovered pixel values, which are stored in an XML pattern database.  Performance analysis parameters include authentication, security, and accuracy. Compared to other image password mappers, this method works better, according to the comparative performance test.