Title: Behavioural biometrics: a survey and classification

Authors: Roman V. Yampolskiy, Venu Govindaraju

Addresses: Department of Computer Science and Engineering and IGERT in GIS University at Buffalo 2145 Monroe Ave. #4 Rochester, NY 14618, USA. ' Department of Computer Science and Engineering, CUBS University at Buffalo 520 Lee Entrance, Suite 202 Buffalo, NY 14228, USA

Abstract: This study is a survey and classification of the state-of-the-art in behavioural biometrics which is based on skills, style, preference, knowledge, motor-skills or strategy used by people while accomplishing different everyday tasks such as driving an automobile, talking on the phone or using a computer. The authors examine current research in the field and analyse the types of features used to describe different types of behaviour. After comparing accuracy rates for verification of users using different behavioural biometric approaches, researchers address privacy issues which arise or might arise in the future with the use of behavioural biometrics.

Keywords: behavioural biometrics; features; motor skills; privacy; user verification; human behaviour.

DOI: 10.1504/IJBM.2008.018665

International Journal of Biometrics, 2008 Vol.1 No.1, pp.81 - 113

Published online: 04 Jun 2008 *

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