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Behavioral Biometrics: Categorization and Review
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Author(s): 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)and Abdallah A. Mohamed (University of Louisville, Louisville, KY, USA)
Copyright: 2014
Volume: 4
Issue: 3
Pages: 34
Source title:
International Journal of Natural Computing Research (IJNCR)
DOI: 10.4018/ijncr.2014070105
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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.
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