Accession Number:

ADA517270

Title:

Spectral Domain RF Fingerprinting for 802.11 Wireless Devices

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2010-03-01

Pagination or Media Count:

70.0

Abstract:

The increase in availability and reduction in cost of commercial communication devices IEEE compliant such as 802.11, 802.16, etc has increased wireless user exposure and the need for techniques to properly identifyclassify signals for increased security measures. A communication devices emission includes intentional modulation that enables correct device operation. Hardware and environmental factors alter the ideal response and induce unintentional modulation effects. If these effects features are sufficiently unique it becomes possible to identify a device using its fingerprint, with potential discrimination of not only manufacturers but possibly serial numbers for a given manufacturer. Previous AFIT research has demonstrated effectiveness at RF Fingerprinting using 802.11A signals with 1 spectral correlation on Power Spectral Density PSD Fingerprints, 2 Multiple Discriminant AnalysisMaximum Likelihood MDAML classification with fingerprints obtained from Time Domain TD and Wavelet Domain WD statistical features. As used here, Spectral Domain SD fingerprinting uses the Fourier Transform to calculate PSD features for device discrimination. Results here show some improvement over the WD approach gain approximately equal 3 dB and significant improvement over the TD approach gain approximately equal 8 dB gain.

Subject Categories:

  • Radiofrequency Wave Propagation
  • Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE