Title: Anomaly detection in RFID systems

Authors: Khaled Garri, Francoise Sailhan, Samia Bouzefrane, Marc Uy

Addresses: Cedric Laboratory, Conservatoire National des Arts et Metiers, 292 rue Saint Martin, 75141, Paris, France. ' Cedric Laboratory, Conservatoire National des Arts et Metiers, 292 rue Saint Martin, 75141, Paris, France. ' Cedric Laboratory, Conservatoire National des Arts et Metiers, 292 rue Saint Martin, 75141, Paris, France. ' Cedric Laboratory, Conservatoire National des Arts et Metiers, 292 rue Saint Martin, 75141, Paris, France

Abstract: The level of sophistication exhibited by RFID tags is affected by not only their financial cost but also their ability to provide (extensive) cryptographic functionalities. It follows that low-cost tags offer no real control access. To tackle this issue, we propose an anomaly detection system that attempts to identify deviations from normal behaviour. In practice, subjects are equipped with RFID tags in order to be constantly located. Then, a user|s profile is built, relying on the Kohonen|s maps that constitute an efficient way for automatically categorising and further compare the tag behaviour against the normal user|s behaviour (as expressed in the user|s profile).

Keywords: anomaly detection systems; RFID tags; radio frequency identification; access control; tag behaviour; user behaviour; user profile.

DOI: 10.1504/IJRFITA.2011.039781

International Journal of Radio Frequency Identification Technology and Applications, 2011 Vol.3 No.1/2, pp.31 - 46

Available online: 19 Apr 2011 *

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