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Active Authentication on Mobile Devices

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Selfie Biometrics

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

In recent years, we have witnessed a significant growth in the use of mobile devices such as smartphones and tablets. In this context, security and privacy in mobile devices becomes vital as the loss of a mobile device could compromise personal information of the user. To deal with this problem, Active Authentication (AA)   systems have been proposed in the literature where users are continuously monitored after the initial access to the mobile device. In this chapter, we provide a survey of recent face-based AA methods.

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Acknowledgements

This work was supported by US Office of Naval Research (ONR) Grant YIP N00014-16-1-3134.

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Authors and Affiliations

  1. Johns Hopkins University, Baltimore, MD, USA

    Pramuditha Perera & Vishal M. Patel

Authors
  1. Pramuditha Perera
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  2. Vishal M. Patel
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Corresponding author

Correspondence to Vishal M. Patel .

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Editors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS, USA

    Ajita Rattani

  2. Department of Computer Science and Electrical Engineering, University of Missouri-Kansas City, Kansas City, MO, USA

    Reza Derakhshani

  3. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Arun Ross

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Perera, P., Patel, V.M. (2019). Active Authentication on Mobile Devices. In: Rattani, A., Derakhshani, R., Ross, A. (eds) Selfie Biometrics. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-26972-2_12

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  • DOI: https://doi.org/10.1007/978-3-030-26972-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26971-5

  • Online ISBN: 978-3-030-26972-2

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