Empowering behaviometrics for authentication

Speaker:  Burak Kantarci – Ottawa, ON, Canada
Topic(s):  Security and Privacy

Abstract

Learning unique behavioral patterns of an individual can improve detection of identity spoofing while addressing user comfort issues in user authentication processes. To this end, social and physical behavior can be coupled in order to verify a user’s identity. The talk presents social and physical (i.e. gesture-based) behaviometric frameworks to ensure authenticity of users on smartphones and cope with spoofing attempts. The talk discusses the performance of behaviometric authentication methods in terms of detection accuracy, precision, authenticity, user comfort, and stability. The talk also reports open issues, existing challenges and possible research directions in this field.  

About this Lecture

Number of Slides:  30
Duration:  45 minutes
Languages Available:  English
Last Updated: 

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