“RF Fingerprint Measurements for the Identification of Devices in Wireless Communication Networks Based on Feature Reduction and Subspace Transformation”, 2014-12-01 ():
We propose a RF fingerprint approach for device identification in wireless networks.
Based on the extraction and analysis of the preamble RF fingerprint of a device.
Techniques for feature reduction such as PCA and PLS are used.
Experimentation with commercial WiFi devices is done and results are provided.
This document proposes a radiofrequency (RF) fingerprinting strategy for the proper identification of wireless devices in mobile and wireless networks.
The proposed identification methods are based on the extraction of the preamble RF fingerprint of a device and its comparison with a set of already known device RF fingerprints. The identification method combines techniques for feature reduction such as Principal Component Analysis (PCA) and Partial Least Squares regression (PLS), both based on subspace transformation, along with a similarity-based analysis. In this work, a complete procedure for RF fingerprint data extraction and analysis is provided. In addition, some experimentation with commercial Wi-Fi devices is carried out for the methods validation.
[Keywords: RF fingerprint, subspace transformation, wireless communications, network identification]
…Acknowledgement: This work has been carried out despite the economic difficulties of the authors’ country. The authors want to overall remark the clear contribution of the Spanish Government in destroying the R&D horizon of Spain and the future of an entire generation.