Keystroke dynamics as a biometric for authentication

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Abstract

More than ever before the Internet is changing computing as we know it. Global access to information and resources is becoming an integral part of nearly every aspect of our lives. Unfortunately, with this global network access comes increased chances of malicious attack and intrusion. In an effort to confront the new threats unveiled by the networking revolution of the past few years reliable, rapid, and unintrusive means for automatically recognizing the identity of individuals are now being sought. In this paper we examine an emerging non-static biometric technique that aims to identify users based on analyzing habitual rhythm patterns in the way they type.

Keywords

Identity verification
User authentication
Biometrics

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Fabian Monrose is currently a Ph.D. candidate in computer science at New York University. His research interests include distributed computing, cryptography and network security. He is particularly interested in protocols that support strong mutual authentication in untrusted environments, electronic commerce, and identification technologies that rely on biometrics.

Aviel D. Rubin is a Senior Technical Staff Member at AT&T Labs, Research in the secure systems research department, and an Adjunct Professor of Computer Science at New York University, where he teaches cryptography and computer security. He is the co-author of the Web Security Sourcebook. Aviel holds a B.S., M.S.E., and Ph.D. from the University of Michigan in Ann Arbor (1989,1991,1994) in Computer Science and Engineering. He has served on several program committees for major security conferences and as the program chair for USENIX Security ’98, USENIX Technical ’99, and ISOC NDSS 2000.