Date of Award
3-22-2019
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Scott R. Graham, PhD
Abstract
The Controller Area Network (CAN) bus is a communication system used in automobiles to connect the electronic components required for critical vehicle operations. These components are called Electronic Control Units (ECU) and each one exercises one or more functions within the vehicle. ECUs can provide autonomous safety features and increased comfort to drivers but these advancements may come at the expense of vehicle security. Researchers have shown that the CAN bus can be hacked by compromising authorized ECUs or by physically connecting unauthorized devices to the bus. Physical layer (PHY) device fingerprinting has emerged as one of the accepted approaches to establishing vehicle security. This paper uses a fingerprinting method called Wired Signal Distinct Native Attribute (WS-DNA) and classification algorithm called Multiple Discriminant Analysis Maximum Likelihood (MDA/ML) to achieve ECU discrimination which includes device classification and verification.
AFIT Designator
AFIT-ENG-MS-19-M-038
DTIC Accession Number
AD1075640
Recommended Citation
Lassiter, Rahn M., "Physical Layer Discrimination of Electronic Control Units Using Wired Signal Distinct Native Attribute (WS-DNDA)" (2019). Theses and Dissertations. 2267.
https://scholar.afit.edu/etd/2267