Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25522
Title: Approaching the time lower bound on cloned-tag identification for large RFID systems
Authors: Bu, K
Liu, X
Xiao, B 
Keywords: Cloned-tag identification
Cloning attack
RFID
Time-efficient
Issue Date: 2014
Publisher: Elsevier Science Bv
Source: Ad hoc networks, 2014, v. 13, no. part b, p. 271-281 How to cite?
Journal: Ad Hoc Networks 
Abstract: Tag cloning attacks threaten a variety of Radio Frequency Identification (RFID) applications but are hard to prevent. To secure RFID applications that confine tagged objects in the same RFID system, this paper studies the cloned-tag identification problem. Although limited existing work has shed some light on the problem, designing fast cloned-tag identification protocols for applications in large-scale RFID systems is yet not thoroughly investigated. To this end, we propose leveraging broadcast and collisions to identify cloned tags. This approach relieves us from resorting to complex cryptography techniques and time-consuming transmission of tag IDs. Based on this approach, we derive a time lower bound on cloned-tag identification and propose a suite of time-efficient protocols toward approaching the time lower bound. The execution time of our protocol is only 1.4 times the value of the time lower bound, being over 91% less than that of the existing protocol. Even better, we further dig up an adaptive protocol that can yield higher time efficiency under some scenarios. The proposed protocols may benefit also RFID applications that distribute tagged objects across multiple places.
URI: http://hdl.handle.net/10397/25522
ISSN: 1570-8705
DOI: 10.1016/j.adhoc.2013.08.011
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

8
Last Week
0
Last month
1
Citations as of Sep 8, 2017

WEB OF SCIENCETM
Citations

7
Last Week
0
Last month
3
Citations as of Sep 5, 2017

Page view(s)

44
Last Week
2
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



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