Please use this identifier to cite or link to this item: https://doi.org/10.1109/TC.2011.248
Title: Dynamic bit encoding for privacy protection against correlation attacks in RFID backward channel
Authors: Sakai, K.
Ku, W.-S.
Zimmermann, R. 
Sun, M.-T.
Keywords: bit encoding
privacy protection
Radio frequency identification
Issue Date: 2013
Source: Sakai, K.,Ku, W.-S.,Zimmermann, R.,Sun, M.-T. (2013). Dynamic bit encoding for privacy protection against correlation attacks in RFID backward channel. IEEE Transactions on Computers 62 (1) : 112-123. ScholarBank@NUS Repository. https://doi.org/10.1109/TC.2011.248
Abstract: Today Radio Frequency Identification (RFID) technologies are applied in many fields for a variety of applications. Though bringing great productivity gains, RFID systems may cause new security and privacy threats to individuals or organizations. Therefore, it is important to protect the security of RFID systems and the privacy of RFID tag owners. Unfortunately, none of the existing solutions provide a complete defense against eavesdroppers who could monitor the communication between RFID readers and tags and recover the contents of tags. Based on our research, we propose two novel RFID backward channel protection protocols, namely dynamic bit encoding and optimized dynamic bit encoding. Our schemes are able to achieve high anonymity with limited communication overhead. Our extensive simulations show that both proposed schemes provide much stronger backward channel protection than existing techniques. In addition, analytical models were created and validated through comparisons with simulation results. © 2012 IEEE.
Source Title: IEEE Transactions on Computers
URI: http://scholarbank.nus.edu.sg/handle/10635/39409
ISSN: 00189340
DOI: 10.1109/TC.2011.248
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

12
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

8
checked on Nov 1, 2017

Page view(s)

109
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.