A new unpredictability-based RFID privacy model

Authors

Anjia Yang, City University of Hong KongFollow
Yunhui Zhuang, City University of Hong Kong
Duncan S. Wong, City University of Hong KongFollow
Guomin Yang, University of WollongongFollow

RIS ID

82333

Publication Details

Yang, A., Zhuang, Y., Wong, D. S. & Yang, G. (2013). A new unpredictability-based RFID privacy model. Lecture Notes in Computer Science, 7873 LNCS 479-492.

Abstract

Ind-privacy and unp-privacy, later refined to unp privacy, are two different classes of privacy models for RFID authentication protocols. These models have captured the major anonymity and untraceability related attacks regarding RFID authentication protocols with privacy, and existing work indicates that unp privacy seems to be a stronger notion when compared with ind-privacy. In this paper, we continue studying the RFID privacy models, and there are two folds regarding our results. First of all, we describe a new traceability attack and show that schemes proven secure in unp privacy may not be secure against this new and practical type of traceability attacks. We then propose a new unpredictability-based privacy model to capture this new type of attacks. Secondly, we show that this new model, where we called it the unp privacy, is stronger than both unp privacy and ind-privacy.