Multi-type graphical authentication for organization

Kirthika S and Shenbagavalli R

Sensitive data like passwords which is suspected to be infected with spyware which snoops on the user’s activity. Securing data became a major role in today’s technological world. Thereby, different techniques are used to make the data more secure. To make user authentication more secure by avoiding alphanumeric string which users tend to choose passwords either short or meaningful for easy memorization. To overcome this problem, we proposed a novel authentication system with five different authentication methodologies: I) Random pixel selection. II) Password draw method (character recognition). III) Numeric authentication (password selection using arrow key). IV) Oriented image selection. V) Image comparison using image features. We implemented various authentication in banking sector proposed system achieves better resistance to spyware attacks while maintaining usability.

Download PDF: