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Sensors 2017, 17(1), 53; doi:10.3390/s17010053

RFID Ownership Transfer with Positive Secrecy Capacity Channels

1
Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad de Málaga, Málaga 29071, Spain
2
Department of Computer Science, Florida State University, Tallahassee, FL 32306, USA
3
School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 9 October 2016 / Revised: 20 December 2016 / Accepted: 23 December 2016 / Published: 29 December 2016
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [518 KB, uploaded 30 December 2016]   |  

Abstract

RFID ownership transfer protocols (OTPs) transfer tag ownership rights. Recently, there has been considerable interest in such protocols; however, guaranteeing privacy for symmetric-key settings without trusted third parties (TTPs) is a challenge still unresolved. In this paper, we address this issue and show that it can be solved by using channels with positive secrecy capacity. We implement these channels with noisy tags and provide practical values, thus proving that perfect secrecy is theoretically possible. We then define a communication model that captures spatiotemporal events and describe a first example of symmetric-key based OTP that: (i) is formally secure in the proposed communication model and (ii) achieves privacy with a noisy tag wiretap channel without TTPs. View Full-Text
Keywords: RFID; ownership transfer; trusted third party; RFID; EPCglobal Gen2 RFID; ownership transfer; trusted third party; RFID; EPCglobal Gen2
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Munilla, J.; Burmester, M.; Peinado, A.; Yang, G.; Susilo, W. RFID Ownership Transfer with Positive Secrecy Capacity Channels. Sensors 2017, 17, 53.

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