Improving keystroke dynamics authentication system via multiple feature fusion scheme

Pin Shen Teh; Shigang Yue; Andrew B.J. Teoh

doi:10.1109/CyberSec.2012.6246096

Improving keystroke dynamics authentication system via multiple feature fusion scheme

Pin Shen Teh, Shigang Yue, Andrew B.J. Teoh

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

This paper reports the performance and effect of diverse keystroke features combination on keystroke dynamic authentication system by using fusion scheme. First of all, four types of keystroke features are acquired from our collected dataset, later then transformed into similarity scores by the use of Gaussian Probability Density Function (GPD) and Direction Similarity Measure (DSM). Next, three fusion schemes are introduced to merge the scores pairing with six fusion rules. Result shows that the finest performance is obtained by the combination of both dwell time and flight time collectively. Finally, this experiment also investigates the effect of using larger dataset on performance, which turns out to be rather consistent.

Original language	English
Title of host publication	Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012
Pages	277-282
Number of pages	6
DOIs	https://doi.org/10.1109/CyberSec.2012.6246096
Publication status	Published - 2012
Event	2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012 - Kuala Lumpur, Malaysia Duration: 2012 Jun 26 → 2012 Jun 28

Publication series

Name	Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012

Other

Other	2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012
Country/Territory	Malaysia
City	Kuala Lumpur
Period	12/6/26 → 12/6/28

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/CyberSec.2012.6246096

Cite this

Teh, P. S., Yue, S., & Teoh, A. B. J. (2012). Improving keystroke dynamics authentication system via multiple feature fusion scheme. In Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012 (pp. 277-282). Article 6246096 (Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012). https://doi.org/10.1109/CyberSec.2012.6246096

Teh, Pin Shen ; Yue, Shigang ; Teoh, Andrew B.J. / Improving keystroke dynamics authentication system via multiple feature fusion scheme. Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012. 2012. pp. 277-282 (Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012).

@inproceedings{d83fa69aaa0b4416a582cae2028577f4,

title = "Improving keystroke dynamics authentication system via multiple feature fusion scheme",

abstract = "This paper reports the performance and effect of diverse keystroke features combination on keystroke dynamic authentication system by using fusion scheme. First of all, four types of keystroke features are acquired from our collected dataset, later then transformed into similarity scores by the use of Gaussian Probability Density Function (GPD) and Direction Similarity Measure (DSM). Next, three fusion schemes are introduced to merge the scores pairing with six fusion rules. Result shows that the finest performance is obtained by the combination of both dwell time and flight time collectively. Finally, this experiment also investigates the effect of using larger dataset on performance, which turns out to be rather consistent.",

author = "Teh, {Pin Shen} and Shigang Yue and Teoh, {Andrew B.J.}",

year = "2012",

doi = "10.1109/CyberSec.2012.6246096",

language = "English",

isbn = "9781467314251",

series = "Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012",

pages = "277--282",

booktitle = "Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012",

note = "2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012 ; Conference date: 26-06-2012 Through 28-06-2012",

}

Teh, PS, Yue, S & Teoh, ABJ 2012, Improving keystroke dynamics authentication system via multiple feature fusion scheme. in Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012., 6246096, Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012, pp. 277-282, 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012, Kuala Lumpur, Malaysia, 12/6/26. https://doi.org/10.1109/CyberSec.2012.6246096

Improving keystroke dynamics authentication system via multiple feature fusion scheme. / Teh, Pin Shen; Yue, Shigang; Teoh, Andrew B.J.
Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012. 2012. p. 277-282 6246096 (Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper reports the performance and effect of diverse keystroke features combination on keystroke dynamic authentication system by using fusion scheme. First of all, four types of keystroke features are acquired from our collected dataset, later then transformed into similarity scores by the use of Gaussian Probability Density Function (GPD) and Direction Similarity Measure (DSM). Next, three fusion schemes are introduced to merge the scores pairing with six fusion rules. Result shows that the finest performance is obtained by the combination of both dwell time and flight time collectively. Finally, this experiment also investigates the effect of using larger dataset on performance, which turns out to be rather consistent.

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Teh PS, Yue S, Teoh ABJ. Improving keystroke dynamics authentication system via multiple feature fusion scheme. In Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012. 2012. p. 277-282. 6246096. (Proceedings 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic, CyberSec 2012). doi: 10.1109/CyberSec.2012.6246096

Improving keystroke dynamics authentication system via multiple feature fusion scheme

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