Behavioral Modeling
The focus of this research direction is characterizing drivers’ driving behavior. One representative approach demonstrates a novel pipeline for constructing a unique driving profile of different drivers. The proposed technology can pave the way to a wide range of mobile telematics applications, e.g., anti-fraud in auto insurance and driver verification.
Faculty
Graduate Students
- Dongyao Chen
- Mert D. Pesé
- Kyong-Tak Cho
Publications
-
Dongyao Chen, Mert D. Pesé, and Kang G. Shin, Guess Which Car Type I Am Driving: Imformation Leak via Driving Apps, in ISOC Symposium on Vehicle Security and Privacy (VehicleSec '23), San Diego, CA, February 2023.
Best Paper Award
<pdf>
-
Mert D. Pesé, Xiaoying Pu, and Kang G. Shin, SPy: Car Steering Reveals Your Trip Route!, in The 20th Privacy Enhancing Technologies Symposium, Montréal, Canada, July 2020.
<pdf>
-
Dongyao Chen, Kyong-Tak Cho, and Kang G. Shin, Mobile IMUs Reveal Driver's Identity From Vehicle Turns, arXiv:1710.04578v1 [cs.CR], October 2017.
<pdf>