Date of Award
9-1-2013
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Electrical and Computer Engineering
First Advisor
Michael A. Temple, PhD.
Abstract
The research goal involved developing improved methods for securing Programmable Logic Controller (PLC) devices against unauthorized entry and mitigating the risk of Supervisory Control and Data Acquisition (SCADA) attack by detecting malicious software and/or trojan hardware. A Correlation Based Anomaly Detection (CBAD) process was developed to enable 1) software anomaly detection discriminating between various operating conditions to detect malfunctioning or malicious software, firmware, etc., and 2) hardware component discrimination discriminating between various hardware components to detect malfunctioning or counterfeit, trojan, etc., components.
AFIT Designator
AFIT-ENG-DS-13-S-05
DTIC Accession Number
ADA583973
Recommended Citation
Stone, Samuel J., "Radio Frequency Based Programmable Logic Controller Anomaly Detection" (2013). Theses and Dissertations. 907.
https://scholar.afit.edu/etd/907