Date of Award
3-2024
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Department of Electrical and Computer Engineering
First Advisor
Christopher M. Rondeau, PhD
Abstract
National level attention, resources, and priority regarding critical infrastructure have increased in recent years. This has led to adversaries and defenders exchanging positions between fortification and exploitation. One area that continues to be vulnerable is supply chain attacks like counterfeit insertion. This work investigates the application of converting collected signals into images from devices that may be considered for these critical networks. There are several aspects regarding the conversion of signals into images - specifically Red, Green, Blue (RGB) images. The methodology proposed here is potentially ideal fit for an initial security layer by achieving comparable classification results as more robust detection methods while achieving increased speed and requiring less computational resources.
AFIT Designator
AFIT-ENG-MS-24-M-031
DTIC Accession Number
AD1326857
Recommended Citation
Williamson, Jordan, "Signal-to-Image Method for Counterfeit Detection in Layered Security Paradigm" (2024). Theses and Dissertations. 7800.
https://scholar.afit.edu/etd/7800
Comments
A 12-month embargo was observed for posting this work on AFIT Scholar.
Distribution Statement A, Approved for Public Release. PA case number on file.