![]() Reconfigurable antennas for wireless and space applications. Christos G Christodoulou, Youssef Tawk, Steven Lane, Scott R Erwin, et al.In Proceedings of the 14th ACM international conference on Mobile computing and networking. Wireless device identification with radiometric signatures. Vladimir Brik, Suman Banerjee, Marco Gruteser, and Sangho Oh.The Dragnet: How a man accused of million-dollar fraud uncovered a never before seen, secret surveillance device. In Privacy Enhancing Technologies, 8th International Symposium, PETS 2008, Leuven, Belgium, July 23-25, 2008, Proceedings. Using Wireless Physical Layer Information to Construct Implicit Identifiers. Kevin Bauer, Damon McCoy, Ben Greenstein, Dirk Grunwald, and Douglas Sicker.In response to exponential ventriloquism, on the de-anonymizer's side, we derive a theoretical upper bound on the effectiveness of a wide class of antenna- or MIMO-based techniques intended to conceal channel fingerprints. In response to REST, on the anonymizer's side, we propose a countermeasure to radio-layer tracking based on switchable antennas: a kind of "exponential ventriloquism". We argue that REST is universal: for every other channel fingerprinting or angle-of-arrival scheme, either that scheme is too paranoid, leaving information unused too trusting, relying on degrees of freedom under the transmitter's control or else it is equivalent to REST. To bound the information gained by a powerful de-anonymizer, we develop an array-processing technique, REST, that extracts slowly-varying channel fingerprints from a Wi-Fi signal. A passive listener can use this CSI to de-anonymize the sender. ![]() However, even a device with no such uniqueness would betray channel state information (CSI) at the wireless physical layer. Prior work has shown that unique non-idealities in each wireless device give rise to radiometric fingerprints in the transmitted signal.
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