Strengthening Usability and Security Aspects with Extended Graphical Authentication System

Abstract

Authentication is an essential part of overall access control techniques in the context of information security since it stops unauthorized access to sensitive data and resources. A novel approach of user authentication known as Graphical Password Authentication adds or substitutes graphical components with more conventional alphanumeric passwords. With respect to knowledge based authentication the recall based graphical schemes currently in use offer a way to get around issues with image selection hotspot issues password creation times login times and usability in Pass Point PP Cued Click Point CCP and Persuasive Cued Click Point PCCP. The variations in the existing Graphical User Authentication GUA systems have provide the scope of the proposed system. In proposed system the multifactor authentication system is used with the 3D password. It has the ability to combine every authentication system now in use into a single 3D virtual world. As in design phase of this proposed system an attempt to develop a novel adaptable randomised and secure graphical authentication technique is the main objective of this research work. The aim is to create an authentication system that can be extended to 3D geometric shapes such as cubes hollow cubes cylinders and spheres by implementing improvements to the current 2D graphical password schemes. This justifies the research title keyword in terms of Extended GUA system. To carry out empirical investigation and assessment for several metrics bolstering usability security randomness provides the scope under this research study. The thorough comparison of the suggested system with current models demonstrates its advantages in terms of login time success rate entropy shoulder surfing attack hotspot coverage password space etc the has been analysed to make it most robust and even more convincing to the end users. The usability aspect provides a better option for integrating the proposed system with the real time applications. The major highlights of this study include password entropy