Behavioural biometrics: a survey and classification

Roman V. Yampolskiy, University of Louisville
Venu Govindaraju, University at Buffalo, The State University of New York

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. © 2008 Inderscience Enterprises Ltd.