Behavioral Biometrics: Categorization and Review

Roman V. Yampolskiy, Nawaf Ali, Darryl D'Souza and Abdallah A. Mohamed
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Roman V. Yampolskiy: University of Louisville, Louisville, KY, USA
Nawaf Ali: University of Louisville, Louisville, KY, USA
Darryl D'Souza: University of Louisville, Louisville, KY, USA
Abdallah A. Mohamed: University of Louisville, Louisville, KY, USA

International Journal of Natural Computing Research (IJNCR), 2014, vol. 4, issue 3, 85-118

Abstract: This work categorizes and reviews behavioral biometrics with the inclusion of future-oriented techniques. A general introduction to this field is given alongside the benefits of this non-intrusive approach. It presents the examination and analysis of the current research in the field and the different types of behavior-centric features. Accuracy rates for verifying users with different behavioral biometric approaches are compared. Privacy issues that will or may arise in the future with behavioral biometrics are also addressed. Finally, the general properties of behavior, the influence of environmental factors on observed behavior and the potential directions for future research in the field of behavioral biometrics are discussed.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jncr00:v:4:y:2014:i:3:p:85-118

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