Published Paper Details:

Graphical password authentication methods have garnered attention as an alternative to traditional text-based passwords, aiming to improve both security and usability. Nonetheless, numerous existing graphical password systems encounter usability challenges, such as poor memorability and susceptibility to various attacks. In this study, we introduce an innovative graphical password authentication approach intended to mitigate these usability issues while upholding security standards. Our approach incorporates both image recognition and user-generated patterns to establish a multi-layered authentication framework. Initially, users select a memorable image from a predefined array of categories and subsequently overlay a personalized pattern onto the chosen image. We integrate advanced image processing techniques to bolster resistance against shoulder surfing and other potential attacks. Furthermore, we conducted a usability assessment involving a diverse participant pool to evaluate the efficacy of our proposed approach. The findings indicate noteworthy enhancements in memorability and user satisfaction when compared to existing graphical password systems. In summary, our approach presents a promising avenue for enhancing the usability of graphical passwords while maintaining robust security measures