The Community for Technology Leaders
2013 International Conference on Computing, Networking and Communications (ICNC) (2013)
San Diego, CA, USA USA
Jan. 28, 2013 to Jan. 31, 2013
ISBN: 978-1-4673-5287-1
pp: 1128-1133
Jiang Zhu , Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Moffett Field, CA, USA
Pang Wu , Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Moffett Field, CA, USA
Xiao Wang , Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Moffett Field, CA, USA
Joy Zhang , Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Moffett Field, CA, USA
ABSTRACT
We introduce a new mobile system framework, SenSec, which uses passive sensory data to ensure the security of applications and data on mobile devices. SenSec constantly collects sensory data from accelerometers, gyroscopes and magnetometers and constructs the gesture model of how a user uses the device. SenSec calculates the sureness that the mobile device is being used by its owner. Based on the sureness score, mobile devices can dynamically request the user to provide active authentication (such as a strong password), or disable certain features of the mobile devices to protect user's privacy and information security. In this paper, we model such gesture patterns through a continuous n-gram language model using a set of features constructed from these sensors. We built mobile application prototype based on this model and use it to perform both user classification and user authentication experiments. User studies show that SenSec can achieve 75% accuracy in identifying the users and 71.3% accuracy in detecting the non-owners with only 13.1% false alarms.
INDEX TERMS
Authentication, Sensors, Data models, Mobile handsets, Mobile communication, Mathematical model, Performance evaluation
CITATION

Jiang Zhu, Pang Wu, Xiao Wang and J. Zhang, "SenSec: Mobile security through passive sensing," 2013 International Conference on Computing, Networking and Communications (ICNC 2013)(ICNC), San Diego, CA, 2013, pp. 1128-1133.
doi:10.1109/ICCNC.2013.6504251
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