Abstract
Traces of RFID-equipped item can be used to detect counterfeits. Nevertheless companies are reluctant to share the necessary traces, since it is unclear what can be inferred from them. In this paper we present a provably secure pattern matching algorithm that can be used for distributed anomaly detection. We improve performance and detection capabilities compared to competing approaches by storing partial, malleable information on the RFID tag. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Kerschbaum, F., & Oertel, N. (2010). Privacy-preserving pattern matching for anomaly detection in RFID anti-counterfeiting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6370 LNCS, pp. 124–137). https://doi.org/10.1007/978-3-642-16822-2_12
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