Authors:
Ahmed Al-Khazzar
and
Nick Savage
Affiliation:
University of Portsmouth, United Kingdom
Keyword(s):
Biometric Fusion, Biometric Recognition, Identification, Virtual Worlds, Games, Behavioural Biometric.
Related
Ontology
Subjects/Areas/Topics:
Biometrics Security and Privacy
;
Human Factors and Human Behaviour Recognition Techniques
;
Identification, Authentication and Non-Repudiation
;
Information and Systems Security
;
Information Assurance
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.
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