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Exploring relationship between indistinguishability-based and unpredictability-based RFID privacy models

Journal Article


Abstract


  • © 2018 Elsevier B.V. A comprehensive privacy model plays a vital role in the design of privacy-preserving RFID authentication protocols. Among various existing RFID privacy models, indistinguishability-based (ind-privacy) and unpredictability-based (unp-privacy) privacy models are the two main categories. Unp. *-privacy, a variant of unp-privacy has been claimed to be stronger than ind-privacy. In this paper, we focus on studying RFID privacy models and have three-fold contributions. We start with revisiting unp. *-privacy model and figure out a limitation of it by giving a new practical traceability attack which can be proved secure under unp. *-privacy model. To capture this kind of attack, we improve unp. *-privacy model to a stronger one denoted as unp. τ-privacy. Moreover, we prove that our proposed privacy model is stronger than ind-privacy model. Then, we explore the relationship between unp. *-privacy and ind-privacy, and demonstrate that they are actually not comparable, which is in contrast to the previous belief. Next, we present a new RFID mutual authentication protocol and prove that it is secure under unp. τ-privacy model. Finally, we construct a RFID mutual authentication model denoted as MA model, and show that unp. τ-privacy implies MA, which gives a reference to design a privacy-preserving RFID mutual authentication protocol. That is, if we propose a scheme that satisfies unp. τ-privacy, then it also supports mutual authentication.

Authors


  •   Yang, Anjia (external author)
  •   Zhuang, Yunhui (external author)
  •   Weng, JianPing (external author)
  •   Hancke, Gerhard (external author)
  •   Wong, Duncan S. (external author)
  •   Yang, Guomin

Publication Date


  • 2018

Citation


  • Yang, A., Zhuang, Y., Weng, J., Hancke, G., Wong, D. & Yang, G. (2018). Exploring relationship between indistinguishability-based and unpredictability-based RFID privacy models. Future Generation Computer Systems, 82 315-326.

Scopus Eid


  • 2-s2.0-85040620247

Number Of Pages


  • 11

Start Page


  • 315

End Page


  • 326

Volume


  • 82

Place Of Publication


  • Netherlands

Abstract


  • © 2018 Elsevier B.V. A comprehensive privacy model plays a vital role in the design of privacy-preserving RFID authentication protocols. Among various existing RFID privacy models, indistinguishability-based (ind-privacy) and unpredictability-based (unp-privacy) privacy models are the two main categories. Unp. *-privacy, a variant of unp-privacy has been claimed to be stronger than ind-privacy. In this paper, we focus on studying RFID privacy models and have three-fold contributions. We start with revisiting unp. *-privacy model and figure out a limitation of it by giving a new practical traceability attack which can be proved secure under unp. *-privacy model. To capture this kind of attack, we improve unp. *-privacy model to a stronger one denoted as unp. τ-privacy. Moreover, we prove that our proposed privacy model is stronger than ind-privacy model. Then, we explore the relationship between unp. *-privacy and ind-privacy, and demonstrate that they are actually not comparable, which is in contrast to the previous belief. Next, we present a new RFID mutual authentication protocol and prove that it is secure under unp. τ-privacy model. Finally, we construct a RFID mutual authentication model denoted as MA model, and show that unp. τ-privacy implies MA, which gives a reference to design a privacy-preserving RFID mutual authentication protocol. That is, if we propose a scheme that satisfies unp. τ-privacy, then it also supports mutual authentication.

Authors


  •   Yang, Anjia (external author)
  •   Zhuang, Yunhui (external author)
  •   Weng, JianPing (external author)
  •   Hancke, Gerhard (external author)
  •   Wong, Duncan S. (external author)
  •   Yang, Guomin

Publication Date


  • 2018

Citation


  • Yang, A., Zhuang, Y., Weng, J., Hancke, G., Wong, D. & Yang, G. (2018). Exploring relationship between indistinguishability-based and unpredictability-based RFID privacy models. Future Generation Computer Systems, 82 315-326.

Scopus Eid


  • 2-s2.0-85040620247

Number Of Pages


  • 11

Start Page


  • 315

End Page


  • 326

Volume


  • 82

Place Of Publication


  • Netherlands