Date of Award
12-3-2018
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Electrical and Computer Engineering
First Advisor
Scott R. Graham, PhD
Abstract
The goal of this dissertation is to provide automated methods for security researchers to overcome ‘security through obscurity’ used by manufacturers of proprietary Industrial Control Systems (ICS). `White hat' security analysts waste significant time reverse engineering these systems' opaque network configurations instead of performing meaningful security auditing tasks. Automating the process of documenting proprietary protocol configurations is intended to improve independent security auditing of ICS networks. The major contributions of this dissertation are a novel approach for unsupervised lexical analysis of binary network data flows and analysis of the time series data extracted as a result. We demonstrate the utility of these methods using Controller Area Network (CAN) data sampled from passenger vehicles.
AFIT Designator
AFIT-ENG-DS-18-D-003
DTIC Accession Number
AD1067742
Recommended Citation
Stone, Brent C., "Enabling Auditing and Intrusion Detection of Proprietary Controller Area Networks" (2018). Theses and Dissertations. 1940.
https://scholar.afit.edu/etd/1940