Candidate: Taylor Lee
Date: December 20, 2023
Time: 1:30 PM - 2:30 PM
Place: E5 5047
Supervisor(s): Sebastian Fischmeister
Abstract:
The increasing interconnectivity of modern safety-critical embedded systems has led to
an ever-increasing attack surface. The automotive and maritime industries are but two
industries that use safety-critical embedded systems. A common protocol used in both
industries is the Controller Area Network (CAN) protocol, which has been proven to have
multiple security flaws.
This thesis proposes a novel rules-based CAN Intrusion Detection System (IDS) to
protect against possible attacks via the CAN protocol and alert end users. A rules-based
approach was chosen due to the ability to dynamically adapt to the varying state of CAN
messages. The proposed rules-based CAN IDS leverages an IoT (Internet of Things)
architecture to provide centralized management of the IDS and to give the capability of
deploying the IDS at scale. This thesis tests the proposed rules-based CAN IDS on two
real-world systems that use the J1939 and NMEA 2000 protocols, with the primary testing
performed on a 2016 Peterbilt 579 truck.