Behavioural biometrics: a survey and classification

Authors:
Roman V. Yampolskiy;Venu Govindaraju
Affiliations:
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
Venue:
International Journal of Biometrics
Year:
2008

Citing 0
Cited 11

A survey of the effects of aging on biometric identity verification

International Journal of Biometrics
Identity theft, computers and behavioral biometrics

ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Biometric verification using the motion of fingers: a combination of physical and behavioural biometrics

International Journal of Biometrics
Biometric keypads: Improving accuracy through optimal PIN selection

Decision Support Systems
An efficient user verification system via mouse movements

Proceedings of the 18th ACM conference on Computer and communications security
User identity verification via mouse dynamics

Information Sciences: an International Journal
Evaluation of biometric systems: a study of users' acceptance and satisfaction

International Journal of Biometrics
An improved biometrics technique based on metric learning approach

Neurocomputing
Biometric verification of a subject through eye movements

Computers in Biology and Medicine
Typing Biometric Keypads: Combining Keystroke Time and Pressure Features to Improve Authentication

Journal of Organizational and End User Computing
On authentication factors: "what you can" and "how you do it"

Proceedings of the 6th International Conference on Security of Information and Networks

Quantified Score

Hi-index	0.00

Visualization

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.