Improving keystroke dynamics authentication system via multiple feature fusion scheme

Teh, Pin Shen, Yue, Shigang and Teoh, A. B. J. (2012) Improving keystroke dynamics authentication system via multiple feature fusion scheme. In: 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec), 26-28 June 2012, Kuala Lumpur.

Full content URL:

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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. © 2012 IEEE.

Additional Information:Conference Code:92830
Keywords:Authentication systems, Data sets, Dwell time, Flight time, Fusion rule, Gaussian probability density functions, Keystroke dynamics, Keystroke Feature, Multiple feature fusion, Security authentication, Similarity measure, Similarity scores, Authentication, Biometrics, Computer crime, Dynamics, Electronic crime countermeasures, Fusion reactions, Probability density function, Security of data
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:10860
Deposited On:17 Feb 2014 16:16

Repository Staff Only: item control page