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http://dx.doi.org/10.9717/kmms.2015.18.1.071

Likelihood-based Directional Optimization for Development of Random Pattern Authentication System  

Choi, Yeonjae (Dept. of Computer Science & Information Eng., Graduate School, Inha University)
Lee, Hyun-Gyu (Dept. of Computer Science & Information Eng., Graduate School, Inha University)
Lee, Sang-Chul (Dept. of Computer Science & Information Eng., Inha University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.1, 2015 , pp. 71-80 More about this Journal
Abstract
Many researches have been studied to overcome the weak points in authentication schemes of mobile devices such as pattern-authentication that is vulnerable for smudge-attack. Since random-pattern-lock authenticates users by drawing figure of predefined-shape, it can be a method for robust security. However, the authentication performance of random-pattern-lock is influenced by input noise and individual characteristics sign pattern. We introduce an optimization method of user input direction to increase the authentication accuracy of random-pattern-lock. The method uses the likelihood of each direction given an data which is angles of line drawing by user. We adjusted recognition range for each direction and achieved the authentication rate of 95.60%.
Keywords
Shoulder-surfing; Smudge-attack; Pattern-lock; Input Optimization; User Authentication;
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