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Multi-biometric continuous authentication. A trust model for an asynchronous system

: Damer, Naser; Maul, Fabian; Busch, Christoph

Institute of Electrical and Electronics Engineers -IEEE-; International Society of Information Fusion -ISIF-; IEEE Aerospace and Electronic Systems Society -AESS-:
19th International Conference on Information Fusion, FUSION 2016. Proceedings : Heidelberg, 5-8 July 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-0-9964-5274-8
ISBN: 978-1-5090-2012-6
International Conference on Information Fusion (FUSION) <19, 2016, Heidelberg>
Fraunhofer IGD ()
multibiometrics; biometric fusion; authentication; database; face recognition; Guiding Theme: Smart City; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI); CRISP

Biometric technologies are used to grant specific users access to services and data. The access control is usually performed at the start of a session that spans over a period of time. Continuous authentication aims at insuring the identity of the user over this period of time, and not only at its start. Multi-biometrics aims at increasing the accuracy, robustness and usability of biometrics systems.
This work presents a multibiometric continuous authentication solution that includes information from the face images and the keystroke dynamics of the user. A database representing a realistic scenario was collected to develop and evaluate the presented solution. A multi-biometric trust model was designed to cope with the asynchronous nature induced by the different biometric characteristics. A set of performance metrics are discussed and a comparison is presented between the performances of the single characteristic solutions and the fused solution.