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Remote Intrusion Detection and Prevention for CVs

Status: Complete

Lead Researcher(s)

André Weimerskirch
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

Project Team

Project Abstract

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.

Project Outcome

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
IMPACT: SAFETY
RESEARCH CATEGORY: CYBERSECURITY