Secure user authentication on smartphones via sensor and face recognition on short video clips

Galdi, Chiara; Nappi, Michele; Dugelay, Jean-Luc
GPC 2017, 12th International Conference on Green, Pervasive, and Cloud Computing, May 11-14, Cetara, Italy / Also published in Lecture Notes in Computer Science, vol 10232/2017

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.


DOI
Type:
Conference
City:
Cetara
Date:
2017-05-11
Department:
Digital Security
Eurecom Ref:
5198
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in GPC 2017, 12th International Conference on Green, Pervasive, and Cloud Computing, May 11-14, Cetara, Italy / Also published in Lecture Notes in Computer Science, vol 10232/2017 and is available at : http://dx.doi.org/10.1007/978-3-319-57186-7_2

PERMALINK : https://www.eurecom.fr/publication/5198