Multilevel Graphical Authentication for Secure Banking

Abstract

This evolution brings great expediency but also increases the possibility of divulging passwords to shoulder surfing attacks. Attackers can observe directly or use external recording devices to collect users’ identifications. To overcome this problem, we proposed a novel authentication system PassMatrix, based on graphical passwords to resist shoulder surfing attacks. With a one-time valid login indicator and circulative horizontal and vertical bars wrapper the entire scope of pass-images, PassMatrix deals no hint for attackers to figure out or narrow down the password even they demeanor manifold camera-based attacks. We also implemented a PassMatrix prototype on Android and carried out real user experiments to evaluate its memorability and usability. From the experimental result, the future system achieves better resistance to shoulder surfing attacks while maintaining usability. We divide the image into several regions, and extract the distribution of the LDN features from them. LDN encodes the directional information of the image textures (i.e. the texture’s structure) in a compact way. We avoided image comparison and brought in image feature comparison. (LDN comparison generates Six digit binary codes for each pixel) will be used for comparison.