PROJECT TITLE

Remote Intrusion Detection and Prevention for Connected Vehicles

PRIMARY INVESTIGATOR

Kang Shin, PhD
Kevin and Nancy O’Connor Professor of Computer Science, Founding Director, Real-time Computing Laboratory, Electrical Engineering and Computer Science, U-M College of Engineering

PROJECT DATES

May 2015 – April 2016

PROJECT TEAM

Arun Ganesan
Graduate Student Research Assistant, Electrical Engineering and Computer Science, U-M College of Engineering

OBJECTIVE

Develop a remote intrusion detection and prevention system for connected vehicles.

APPROACH

Distributed intrusion detection with a combination of in-vehicle and remote systems. Employ cryptographic methods to secure communication within and without vehicle.  Build normal behavior models using neighboring cars and historical data to detect anomalous behavior.

OUTCOME

A multi-layered detection and prevention mechanism, including authenticated communication within a vehicle that is robust to DoS attacks, authenticated communication from vehicle to cloud that is robust to untrusted translation gateway, and remote anomaly detection based on vehicular norm models.


CATEGORY: CYBERSECURITY
TAGS: connected
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