Committee Chair

Reising, Donald

Committee Member

Kandah, Farah; Loveless, Daniel

Department

Dept. of Electrical Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

The ubiquity of IoT devices has created an urgent need to augment existing network security mechanisms by leveraging discriminating, waveform characteristics to facilitate the detection of unauthorized devices. RF-DNA fingerprints are a waveform-based approach capable of distinguishing one device from others of the same manufacturer and model. This work investigates the extent to which the intentionally inserted changes can alter the RF-DNA fingerprints of the transmitted signal without negatively impacting the receiver’s ability to demodulate the received signal. The experiments presented herein investigate intentional changes caused by the external clock to the preamble of the 802.11a Wi-Fi waveform from which RF-DNA fingerprints are extracted. Analysis is conducted using the Gabor Transform. The results show the structure of the preamble remains intact when the clock signal is phase-modulated using sine waves oscillating frequencies up to 10 kHz with deviation of 1.5 degrees, or 2.5 kHz with deviation of 90 degrees.

Acknowledgments

In the beginning, I would like to deliver my thank messages to my advisor, Dr. Reising, for his great support and guidance during this work. I learned a lot from him regarding the scientific details of work, how to develop a strong methodology, and how to pick an efficient approach to solve the research issues. Furthermore, he taught me the required skills to enhance presenting this work, like technical writing and how to communicate efficiently with the intended audience and readers. Also, I would like to thank my co-advisor, Dr. Loveless, for teaching me how to analyze research problems and how to come up with proper solutions to address them. I would like to thank Dr. Kandah for his advice about how to deliver the information with direct and clear writing methods. Also, I would like to thank Dr. Eltom, Dr. Karrar, Dr. Raga and all Electrical Engineering staff, my colleagues (Mohamed Fadul, Aaron Wilson, Joseph Cancelleri, Bharat Patel, Artem Malashiy, and Ryan Boggs), UTC Center for Global Education, my parents, siblings, family, and friends for their continuous support. Furthermore, I would like to extend my thanks to the SIM center, and the Center of Excellence for Applied Computational Science and Engineering (CEACSE) at the University of Tennessee at Chattanooga (UTC) for their assistance and support. Last but not least, I want to thank William Mitchell, and Kaitlin Hall from Research Experiences for Undergraduates (REU) program, funded by the National Science Foundation (NSF).

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

5-2020

Subject

Computer security; Computer networks -- Security measures

Keyword

RF-DNA; Fingerprinting; SDR; Phase-modulated; GNU-radio; Clock

Document Type

Masters theses

DCMI Type

Text

Extent

xiii, 65 leaves

Language

English

Rights

https://rightsstatements.org/page/InC/1.0/?language=en

License

http://creativecommons.org/licenses/by-nd/4.0/

Date Available

6-1-2021

Available for download on Tuesday, June 01, 2021

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