Title

Artifical Impostor Profiling for Keystroke Analysis on a Mobile Handset

Document Type

Conference Proceeding

Faculty

Faculty of Computing, Health and Science

School

School of Computer and Information Science / Centre for Security Research

RAS ID

2738

Comments

Lecomte, J., Clarke, N., & Furnell, S. (2005). Artificial impostor profiling for keystroke analysis on a mobile handset.

Abstract

Keystroke Analysis is a biometric approach that utilises the typing characteristics of a user to perform identity authentication, and has two key advantages in a mobile context–the necessary authentication hardware (ie the keypad is already present) and the technique can operate transparently. Although studies have proved the feasibility of such an approach on a mobile handset, a failing exists in the practical deployment of the system. Classification is performed by neural networks that are trained using both the authorized users samples and …

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