On accuracy of keystroke authentications based on commonly used English words

Alaa Darabseh, Akbar Siami Namin

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

1 Scopus citations

Abstract

The aim of this research is to advance the user active authentication using keystroke dynamics. Through this research, we assess the performance and influence of various keystroke features on keystroke dynamics authentication systems. In particular, we investigate the performance of keystroke features on a subset of most frequently used English words. The performance of four features such as i) key duration, ii) flight time latency, iii) digraph time latency, and iv) word total time duration are analyzed. Experiments are performed to measure the performance of each feature individually as well as the results from the different subsets of these features. Four machine learning techniques are employed for assessing keystroke authentications. The selected classification methods are two-class support vector machine (TC) SVM, one-class support vector machine (OC) SVM, k-nearest neighbor classifier (K-NN), and Naive Bayes classifier (NB). The logged experimental data are captured for 28 users. The experimental results show that key duration time offers the best performance result among all four keystroke features, followed by word total time. Furthermore, our results show that TC SVM and KNN perform the best among the four classifiers.

Original languageEnglish
Title of host publicationBIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group
EditorsChristoph Busch, Andreas Uhl, Arslan Bromme, Christian Rathgeb, Christoph Busch, Andreas Uhl, Arslan Bromme, Christian Rathgeb
PublisherGesellschaft fur Informatik (GI)
ISBN (Electronic)9783885796398, 9783885796398
DOIs
StatePublished - Oct 30 2015
Event14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015 - Darmstadt, Germany
Duration: Sep 9 2015Sep 11 2015

Publication series

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
VolumeP-245
ISSN (Print)1617-5468

Conference

Conference14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015
CountryGermany
CityDarmstadt
Period09/9/1509/11/15

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Darabseh, A., & Namin, A. S. (2015). On accuracy of keystroke authentications based on commonly used English words. In C. Busch, A. Uhl, A. Bromme, C. Rathgeb, C. Busch, A. Uhl, A. Bromme, & C. Rathgeb (Eds.), BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-245). Gesellschaft fur Informatik (GI). https://doi.org/10.1109/BIOSIG.2015.7314612