Deployment of Keystroke Analysis on a Smartphone
Document Type
Conference Proceeding
Publisher
Security Research Centre, School of Computer and Security Science, Edith Cowan University
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Security Science / Centre for Security Research
RAS ID
9151
Abstract
The current security on mobile devices is often limited to the Personal Identification Number (PIN), a secretknowledge based technique that has historically demonstrated to provide ineffective protection from misuse. Unfortunately, with the increasing capabilities of mobile devices, such as online banking and shopping, the need for more effective protection is imperative. This study proposes the use of two-factor authentication as an enhanced technique for authentication on a Smartphone. Through utilising secret-knowledge and keystroke analysis, it is proposed a stronger more robust mechanism will exist. Whilst keystroke analysis using mobile devices have been proven effective in experimental studies, these studies have only utilised the mobile device for capturing samples rather than the more computationally challenging task of performing the actual authentication. Given the limited processing capabilities of mobile devices, this study focuses upon deploying keystroke analysis to a mobile device utilising numerous pattern classifiers. Given the trade-off with computation versus performance, the results demonstrate that the statistical classifiers are the most effective.
DOI
10.4225/75/57b55a56b876a
Access Rights
free_to_read
Comments
Buchoux, A., & Clarke, N.L. (2008). Proceedings of the 6th Australian Information Security Management Conference. Edith Cowan University, Perth, Western Australia. Available here