RF Fingerprinting

This work is supported by the National Science Foundation under Grant No. CNS-0905349.

The first two papers below consider the problem of identifying users who are not intentionally distorting their signals. The third paper below considers the much harder case of identifying users when they are potentially (nonlinearly) distorting their transmitted symbols so as to confuse potential RF fingerprinting algorithms.

  • S. Dolatshahi, A. Polak, and D. Goeckel, "Identifying Wireless Users via Power Amplifier Imperfections," (PDF file), Proceedings of the 2010 Asilomar Conference on Signals, Systems, and Computers, November 2010.

  • A. Polak, S. Dolathshahi, and D. Goeckel "Identifying Wireless Users via Transmitter Imperfections," (PDF file) IEEE Journal on Selected Areas in Communications: Special Issue on Advances in Digital Forensics for Communications and Networking, also see errata here: "Errata."

  • A. Polak and D. Goeckel, "RF Fingerprinting of Users who Actively Mask Their Identities with Artificial Distortion," (PDF file), submitted to the 2011 Asilomar Conference on Signals, Systems, and Computer, May 2011.

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