Date of Award
9-17-2015
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Electrical and Computer Engineering
First Advisor
Michael A. Temple, PhD.
Abstract
This research contributed to the AFIT's Radio Frequency Intelligence (RFINT) program by developing a new device discrimination technique called Constellation-Based Distinct Native Attribute (CB-DNA) Fingerprinting. This is of great interest to the Air Force Research Lab (AFRL), Sensor Directorate, who supported the research and now have new method for improving network security. CB-DNA fingerprints are used to authenticate wired network device identities, thwart unauthorized access, and augment traditional bit-level security measures that area easily bypassed by skilled hackers. Similar to human fingerprint features that uniquely identify individuals, CB-DNA uniquely identifies communication devices and improves the rate at which unauthorized rogue devices are granted network access.
AFIT Designator
AFIT-ENG-DS-15-S-008
DTIC Accession Number
ADA623874
Recommended Citation
Carbino, Timothy J., "Exploitation of Unintentional Ethernet Cable Emissions Using Constellation Based-Distinct Native Attribute (CB-DNA) Fingerprints to Enhance Network Security" (2015). Theses and Dissertations. 212.
https://scholar.afit.edu/etd/212