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

• Kang G. Shin

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
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• 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.
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• 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.
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