Continuous and non-intrusive identity verification in real-time environments based on free-text keystroke dynamics

Messerman, Arik, Mustafic, Tarik, Camtepe, Seyit A., & Albayrak, Sahin (2011) Continuous and non-intrusive identity verification in real-time environments based on free-text keystroke dynamics. In Proceedings of the 2011 International Joint Conference on Biometrics IJCB '11, IEEE Conference Publications , Washington, D.C., pp. 1-8.

View at publisher


Internet services are important part of daily activities for most of us. These services come with sophisticated authentication requirements which may not be handled by average Internet users. The management of secure passwords for example creates an extra overhead which is often neglected due to usability reasons. Furthermore, password-based approaches are applicable only for initial logins and do not protect against unlocked workstation attacks. In this paper, we provide a non-intrusive identity verification scheme based on behavior biometrics where keystroke dynamics based-on free-text is used continuously for verifying the identity of a user in real-time. We improved existing keystroke dynamics based verification schemes in four aspects. First, we improve the scalability where we use a constant number of users instead of whole user space to verify the identity of target user. Second, we provide an adaptive user model which enables our solution to take the change of user behavior into consideration in verification decision. Next, we identify a new distance measure which enables us to verify identity of a user with shorter text. Fourth, we decrease the number of false results. Our solution is evaluated on a data set which we have collected from users while they were interacting with their mail-boxes during their daily activities.

Impact and interest:

3 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 58297
Item Type: Conference Paper
Refereed: Yes
Additional Information: The proceedings of this conference will be available for purchase through Curran Associates.
Keywords: biometrics, text analysis, biometrics behavior, free text keystroke dynamics, nonintrusive identity verification
DOI: 10.1109/IJCB.2011.6117552
ISBN: 978-1-4577-1358-3
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 please consult the authors
Deposited On: 15 Mar 2013 01:27
Last Modified: 12 Jun 2013 15:37

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page