Title

Continuous user authentication using multi-modal biometrics

Document Type

Journal Article

Publisher

Elsevier

Faculty

Health, Engineering and Science

School

School of Computer and Security Science

RAS ID

19860

Comments

This article was originally published as: Saevanee, H., Clarke, C., Furnell, S. & Biscione, V. (2014). Continuous user authentication using multi-modal biometrics. Computer & Security. 53. 234-246. Original article available here

Abstract

As modern mobile devices increase in their capability and accessibility, they introduce additional demands in terms of security - particularly authentication. With the widely documented poor use of PINs, Active Authentication is designed to overcome the fundamental issue of usable and secure authentication through utilizing biometric-based techniques to continuously verify user identity. This paper proposes a novel text-based multimodal biometric approach utilizing linguistic analysis, keystroke dynamics and behavioural profiling. Experimental investigations show that users can be discriminated via their text-based entry, with an average Equal Error Rate (EER) of 3.3%. Based on these findings, a framework that is able to provide robust, continuous and transparent authentication is proposed. The framework is evaluated to examine the effectiveness of providing security and user convenience. The result showed that the framework is able to provide a 91% reduction in the number of intrusive authentication requests required for high security applications.

DOI

10.1016/j.cose.2015.06.001

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