Legibility Environment Factor for Shoulder-Surfing Resistant Authentication Scheme using Visual Perception of Graphical-based Authentication

Abstract

Shoulder surfer is among the factors that make authentication unsecure. The physical transaction processes at automated teller machines (ATM) are the most likely to be vulnerable to shoulder surfer attacks. In addition, using an app through smartphone gives insecure situation to the user during any authentication activities. Legibility environment factors are one of the factors that affect legibility from the shoulder-surfer’s viewing angle. The research focuses on Shoulder-Surfing Resistant Authentication Scheme using Visual Perception of Graphical-based authentication. The research is carried out by developing the algorithm of the authentication process. The research allows for auto-hiding or auto-glaring techniques to the algorithm and experiment so that a shoulder-surfer cannot be seen during authentication activities. The outcome satisfies the objective and is in accordance with the legibility impact factor. Based on the results, the research concludes that the strategy successfully reduces shoulder surfers' legibility outside of the safe zone to a crucial level.