Remote Intrusion Detection and Prevention for CVs
Associate Research Scientist, University of Michigan Transportation Research Institute
Kang G. Shin
Kevin and Nancy O’Connor Professor of Computer Science and Professor of Electrical Engineering and Computer Science, College of Engineering
The project developed an intrusion detection and prevention system for connected vehicles (CVs) using deterministic (e.g., cryptography) and probabilistic (e.g., machine learning) techniques.
A multilayered detection and prevention mechanism including error reporting, attack prevention and reporting, frequency detection, data
verification, remote data analysis, and mobile device authorization.
BUDGET YEAR: 2015-05-01
RESEARCH CATEGORY: CYBERSECURITY