Design and Evaluation of a Shoulder Surfing Resistant Authentication System

The main objective of this research is to propose, develop and analyse a new recognition based authentication system that is resistant against shoulder-surfing attacks. Hence, in this research work a solution proposed to extract edge features from the user password image and then blends it with a ba...

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主要作者: Bashier, Housam Khalifa
格式: Thesis
出版: 2015
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總結:The main objective of this research is to propose, develop and analyse a new recognition based authentication system that is resistant against shoulder-surfing attacks. Hence, in this research work a solution proposed to extract edge features from the user password image and then blends it with a background image in such a way that the password image edges match the decoy image color. This algorithm allows the attackers to only see the background image when they are behind the legitimate users. In other words, the proposed solution generates an image that changes its interpolation based on the viewing distances. An attacker who is behind the legitimate will observe a totally different image from what the legitimate user sees. From this empirical work, about 80 attackers did not manage to observe the pass-image while the legitimate users found it easy to observe the image in the login session. Finally, 173 images were experimented and the results showed that the image quality did not degrade much.