Novel Shoulder-Surfing Resistant Haptic-based Graphical Password

Graphical password schemes are believed to be more secure and more resilient to dictionary attacks than textual passwords, but are more vulnerable to shoulder surfing attacks. In this work, we design a new graphical password which is larger in the possible passwords’ space than similar schemes. We further propose to use personal entropies in a way to reduce the threat of shoulder surfing attacks and to achieve a repeatable system. Using haptics, we are able to integrate the pressure as a binary input with the graphical passwords to increase the resiliency of our scheme to both dictionary attacks and shoulder surfing attacks, while keeping the False Acceptance and False Rejection Ratios very low. Several criteria are also suggested for the graphical passwords to be widely accepted by the public, and we test our scheme within that given criteria