Feature Extraction Techniques in Keystroke Dynamics for Securing Personal Devices

Authors

  • N Krishnaraj Department of Information Technology, Sree Sastha Institute of Engineering and Technology,Chennai, India

Keywords:

Biometrics, Feature Extraction, Keystroke Dynamics Keystroke Dynamics, Latency, Digraph

Abstract

This paper presents a novel approach used to identify and analyze the features of keystroke dynamics. Keystroke dynamics is a authentication technique which aims to identify the person based on the behavioral characteristic (Typing Rhythms). The keystroke data like Duration, latency and digraph are measured using statistical techniques. The user keystroke patterns are collected and further it is analyzed to identify the quality features that will be given to feature subset selection for selecting the dominant features. The extracted features will be given to the feature subset selection for identifying dominant features.

References

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Marcus Karnan,M. Akila,” Personal Authentication based on Keystroke Dynamics using Soft Computing Techniques The 2010 International Conference on Communication Software and Networks (ICCSN 2010) 26 - 28, February 2010.

Marcus Karnan,M. Akila,N.Krishnaraj , “ Biometric Personal Authentication using Keystroke dynamics – A Review” , in International Journal of Applied soft Computing ,Vol 11, Isssue 2, pp.1565 – 1573 , 2011.

Marcus Karnan, N.Krishnaraj , “A Model to Secure Mobile Devices Using Keystroke Dynamics through Soft Computing Techniques” in International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-3, July 2012.

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Brown, M., Rogers, J. , “User Identification via Keystroke Characteristics of Typed Names using Neural Networks”. International Journal of Man-Machine Studies, vol. 39, pp. 999-1014, 1993.

Leggett J, Williams G, Usnick M, Longnecker M. Dynamic identity verification via keystroke characteristics. Int Journal in Man Machine Stud, 1991.

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Published

2015-03-31

How to Cite

[1]
N. Krishnaraj, “Feature Extraction Techniques in Keystroke Dynamics for Securing Personal Devices”, Int. J. Comp. Sci. Eng., vol. 3, no. 3, pp. 98–101, Mar. 2015.

Issue

Vol. 3 No. 3 (2015): IJCSE March Edition

Section

Research Article

License

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