Date of Award
3-26-2015
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Michael A. Temple, PhD.
Abstract
ZigBee networks are increasingly popular for use in medical, industrial, and other applications. Traditional security techniques for ZigBee networks are based on presenting and verifying device bit-level credentials (e.g. keys). While historically effective, ZigBee networks remain vulnerable to attack by any unauthorized rogue device that can obtain and present bit-level credentials for an authorized device. This research focused on utilizing a National Instruments (NI) X310 Software-Defined Radio (SDR) hosting an on-board Field Programmable Gate Array (FPGA). The demonstrations included device discrimination assessments using like-model ZigBee AVR RZUSBstick devices and included generating RF fingerprints in real-time, as an extension to AFIT's RF-DNA fingerprinting work. The goal was to develop a fingerprinting process that was both 1) effective at discriminating between like-model ZigBee devices and 2) efficient for implementation in FPGA hardware. As designed and implemented, the full-dimensional FPGA fingerprint generator only utilized approximately 7% of the X310 Kintex-7 FPGA resources. The full-dimensional fingerprinting performance of using only 7% of FPGA resources demonstrates the feasibility for real-time RF-DNA fingerprint generation and like-model ZigBee device discrimination using an SDR platform.
AFIT Designator
AFIT-ENG-MS-15-M-054
DTIC Accession Number
ADA614577
Recommended Citation
Lowder, William M., "Real-Time RF-DNA Fingerprinting of ZigBee Devices Using a Software-Defined Radio with FPGA Processing" (2015). Theses and Dissertations. 43.
https://scholar.afit.edu/etd/43