Saturday 23rd of September 2017
 

User Authentication with Adaptive Keystroke Dynamics


Shimaa I. Hassan, Mazen M. Selim and Hala H. Zayed

Recently, keystroke dynamics increasingly being a field of interest for researchers, where users can access different systems through their typing styles, which increases the level of security. This paper tends to implement a robust keystroke dynamics system; it tends to solve the problem of samples variations by using an adaptive threshold. The proposed system is evaluated using CMU dataset, and a new dataset created for this work. Results obtained are compared with others reported in literature and proved to have good performance.

Keywords: Keystroke dynamics, Timing features, Distance based measures, Leave-One-Out-Method.

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ABOUT THE AUTHORS

Shimaa I. Hassan
Department of computer systems, Faculty of engineering, Benha university, Shoubra, Egypt

Mazen M. Selim
Department of computer Science, Faculty of computers and informatics, Benha university, Benha, Egypt

Hala H. Zayed
Department of computer Science, Faculty of computers and informatics, Benha university, Benha, Egypt


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