Statistical fusion approach on keystroke dynamics

Pin Shen Teh, Beng Jin Andrew Teoh, Thian Song Ong, Han Foon Neo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

Keystroke dynamics refers to a user's habitual typing characteristics. These typing characteristics are believed to be unique among large populations. In this paper, we present a novel keystroke dynamic recognition system by using a fusion method. Firstly, we record the dwell time and the flight time as the feature data. We then calculate their mean and standard deviation values and stored. The test feature data will be transformed into the scores via Gaussian probability density function. On the other hand, we also propose a new technique, known as Direction Similarity Measure (DSM) to measure the differential of sign among each coupled characters in a phrase. Lastly, a weighted sum rule is applied by fusing the Gaussian scores and the DSM to enhance the final result. The best result of equal error rate 6.36% is obtained by using our home-made dataset.

Original languageEnglish
Title of host publicationProceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007
Pages918-923
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
Event3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07 - Jiangong Jinjiang, Shanghai, China
Duration: 2007 Dec 162007 Dec 18

Publication series

NameProceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007

Other

Other3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07
CountryChina
CityJiangong Jinjiang, Shanghai
Period07/12/1607/12/18

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Teh, P. S., Andrew Teoh, B. J., Ong, T. S., & Neo, H. F. (2007). Statistical fusion approach on keystroke dynamics. In Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007 (pp. 918-923). [4618872] (Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007). https://doi.org/10.1109/SITIS.2007.46