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Wireless Frequency Data Manipulation for Embedded Databases Used in Cybersecurity Applications

Authors:
Page Heller

Keywords: physical layer cybersecurity; wireless security; Fast Fourier Transform; radio frequency waveforms

Abstract:
A unique fingerprint in radio frequency signals provides a natural authentication for wireless edge devices in a cybersecurity application based on frequency analysis. Such fingerprints can be improved if extraneous frequency data is removed from the Fourier Transform prior to authentication, but the data manipulation must be done in real time systems with embedded databases designed to store such fingerprints. These embedded systems require a simple and fast process. A method is proposed to manipulate frequency-domain data captured from wireless signals for use in cybersecurity applications to remove unwanted features and ensure the retention of important attributes in embedded databases. Experimental measurements and field studies are presented which lead to modifications in the methodology to address unexpected features encountered. Computational efficiency is taken into account.

Pages: 36 to 42

Copyright: Copyright (c) IARIA, 2021

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-835-8

Location: Porto, Portugal

Dates: from April 18, 2021 to April 22, 2021