Biometric keypads: Improving accuracy through optimal PIN selection

Authors:
Benjamin Ngugi;Marilyn Tremaine;Peter Tarasewich
Affiliations:
Information Systems and Operations Management, Suffolk University, 8 Ashburton place, Boston, MA 02108, USA;Center for Advanced Information Processing, Rutgers University, 96 Freylinghuysen Road, Piscataway, NJ 08554, USA;Information Systems and Operations Management, Suffolk University, 8 Ashburton place, Boston, MA 02108, USA
Venue:
Decision Support Systems
Year:
2011

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Abstract

While online applications can provide convenience to individuals and organizations, they can pose significant remote user authentication challenges. One possible solution to these challenges is to utilize behavioral typing patterns to provide an additional layer of authentication. Such behavioral biometrics have the advantage of being revocable if compromised, unlike physical biometrics such as fingerprints. This study investigates the viability of biometric keypads. Results indicate that biometric keypads can differentiate authentic users from impostors even when a secure PIN has been compromised. Furthermore, it is shown that authentication accuracy can be improved through optimal PIN selection by avoiding correlated key combinations.