Biometric Identification in Virtual Worlds using Biometric Fusion Techniques

Ahmed Al-Khazzar, Nick Savage

2012

Abstract

The use of virtual worlds is becoming popular in many fields such as education, economy, space, and games. With the widespread use of virtual worlds, establishing the security of these systems becomes more important. In this paper a behavioural biometric system is implemented to identify users of a virtual environment. This research suggests the use of a score level fusion technique to improve the identification performance of the system. The identification is achieved by analysing user interactions within the virtual environments and comparing these interactions with the previously recorded interactions in the database. The results showed that using score level biometric fusion in behavioural biometric systems similar to the one presented in this research is a promising tool to improve the performance of these systems. The use of biometric fusion technique enhanced the performance of the implemented biometric system up to 7.5%. An average equal error rate of up to 22.7% was achieved in this work.

Paper Citation

in Harvard Style

Al-Khazzar A. and Savage N. (2012). Biometric Identification in Virtual Worlds using Biometric Fusion Techniques . In Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2012) ISBN 978-989-8565-24-2, pages 263-269. DOI: 10.5220/0004054602630269

in Bibtex Style

@conference{secrypt12,
author={Ahmed Al-Khazzar and Nick Savage},
title={Biometric Identification in Virtual Worlds using Biometric Fusion Techniques},
booktitle={Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2012)},
year={2012},
pages={263-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004054602630269},
isbn={978-989-8565-24-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2012)
TI - Biometric Identification in Virtual Worlds using Biometric Fusion Techniques
SN - 978-989-8565-24-2
AU - Al-Khazzar A.
AU - Savage N.
PY - 2012
SP - 263
EP - 269
DO - 10.5220/0004054602630269