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Secure User Authentication on Smartphones via Sensor and Face Recognition on Short Video Clips

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 10232)

Abstract

Smartphones play a key role in our daily life, they can replace our watch, calendar, and mail box but also our credit card, house keys and in the near future our identity documents. Their increasing use in storing sensitive information, has raised the need to protect users and their data through secure authentication protocols. The main achievement of this work is to make the smartphone not only the cause of the problem but also part of the solution. Here, the Sensor Pattern Noise of the smartphone embedded camera and the HOG features of the user’s face are combined for a double check of user identity.

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Correspondence to Chiara Galdi .

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Galdi, C., Nappi, M., Dugelay, JL. (2017). Secure User Authentication on Smartphones via Sensor and Face Recognition on Short Video Clips. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-57186-7_2

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  • Online ISBN: 978-3-319-57186-7

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