NDLI: The analysis of RF fingerprinting for low-end wireless receivers with application to IEEE 802.11a

Content Provider	IEEE Xplore Digital Library
Author	Rehman, S.U. Sowerby, K. Coghill, C. Holmes, W.
Copyright Year	2012
Description	Author affiliation: Department of Electrotechnology, Unitec Institute of Technology, Auckland, New Zealand (Holmes, W.) \|\| Department of Electrical and Computer Engineering, University of Auckland, New Zealand (Rehman, S.U.; Sowerby, K.; Coghill, C.)
Abstract	RF fingerprinting is proposed to provide an additional layer of security for Wireless devices. The unique RF fingerprint can be used to establish the identity of a specific wireless transmitter in order to prevent masquerading/impersonation attacks. The existing RF fingerprinting techniques are mostly analyzed with high-end receivers, which are built with expensive analog components. However, low-end receivers built with inexpensive components have its own limitation and impairments. This paper has analyzed the classification performance of RF fingerprinting and its feasibility for low-end receivers. Universal Software Radio Peripheral (USRP) is used as low-end receiver and its performance is compared with high-end receiver, which consists of expensive spectrum analyzer and Oscilloscope. Results have shown that classification accuracy of different low-end receivers varies for a specific transmitter and credible results can be achieved at high SNR while the classification accuracy of high-end receiver is high even at low SNR.
Starting Page	24
Ending Page	29
File Size	1317259
Page Count	6
File Format	PDF
ISBN	9781467309356
e-ISBN	9781467309370
DOI	10.1109/iCOST.2012.6271285
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Wireless communication Transmitters Receivers Radio Fingerprinting Feature extraction WLAN Communication system security Security Signal to noise ratio
Content Type	Text
Resource Type	Article

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