A behavioural biometric system based on human computer interaction

Research output: Contribution to conferencePaper

113 Citations (Scopus)

Abstract

In this paper we describe a new behavioural biometric technique based on human computer interaction. We developed a system that captures the user interaction via a pointing device, and uses this behavioural information to verify the identity of an individual. Using statistical pattern recognition techniques, we developed a sequential classifier that processes user interaction, according to which the user identity is considered genuine if a predefined accuracy level is achieved, and the user is classified as an impostor otherwise. Two statistical models for the features were tested, namely Parzen density estimation and a unimodal distribution. The system was tested with different numbers of users in order to evaluate the scalability of the proposal. Experimental results show that the normal user interaction with the computer via a pointing device entails behavioural information with discriminating power, that can be explored for identity authentication.
Original languageEnglish
Pages381-392
Number of pages12
DOIs
Publication statusPublished - 1 Jan 2004

Keywords

  • Biometric authentication
  • Statistical learning
  • Behavioural biometrics
  • Human computer interaction
  • Feature extraction

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