Similarity Assessment Metrics of Hybrid Images for Graphical Password
Author(s): Madoka Hasegawa, Keita Takahashi, Shigeo Kato

Date: July 2013
Publication: Proceedings of the 9th Symposium On Usable Privacy and Security, SOUPS 2013
Publisher: ACM
Source 1: http://cups.cs.cmu.edu/soups/2013/posters/soups13_posters-final14.pdf

Abstract or Summary:
In recent years, several graphical password methods have been proposed in which a set of images is employed in place of a password string as the userís key. In terms of memorability, graphical passwords are superior to conventional authentication using random string passwords; however, because the images occupy a large amount of space on the screen, they remain weak against shoulder surfing. To mitigate this risk, unclear images generated by alpha blending, filtering, or hybrid imaging of original images can be used instead.

In this paper, we analyze the relationship between subjective impressions and our image similarity assessment method in order to avoid using inappropriate background images in generating a hybrid image for a graphical password. Experimental results show that our similarity measure coincides closely with the subjective visibility of the key image within a hybrid image.




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