Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6049
Title: A secure localization approach against wormhole attacks using distance consistency
Authors: Chen, H
Lou, W 
Sun, X
Wang, Z
Keywords: Telecommunication security
Wireless sensor networks
Issue Date: 11-Nov-2009
Publisher: Springer
Source: EURASIP journal on wireless communications and networking, 11 Nov. 2009, v. 2010, 627039, p. 1-11 How to cite?
Journal: EURASIP journal on wireless communications and networking 
Abstract: Wormhole attacks can negatively affect the localization in wireless sensor networks. A typical wormhole attack can be launched by two colluding attackers, one of which sniffs packets at one point in the network and tunnels them through a wired or wireless link to another point, and the other relays them within its vicinity. In this paper, we investigate the impact of the wormhole attack on the localization and propose a novel distance-consistency-based secure localization scheme against wormhole attacks, which includes three phases of wormhole attack detection, valid locators identification and self-localization. The theoretical model is further formulated to analyze the proposed secure localization scheme. The simulation results validate the theoretical results and also demonstrate the effectiveness of our proposed scheme.
URI: http://hdl.handle.net/10397/6049
ISSN: 1687-1472
EISSN: 1687-1499
DOI: 10.1155/2010/627039
Rights: © 2010 The Author(s). 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.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Chen_Secure_Localization_Wormhole.pdf869.53 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Nov 11, 2017

WEB OF SCIENCETM
Citations

3
Last Week
0
Last month
0
Citations as of Nov 16, 2017

Page view(s)

142
Last Week
2
Last month
Checked on Nov 13, 2017

Download(s)

52
Checked on Nov 13, 2017

Google ScholarTM

Check

Altmetric



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