International Journal of Computational Intelligence Systems

Volume 5, Issue 5, September 2012, Pages 887 - 895

A Secure Network Coding-based Data Gathering Model and Its Protocol in Wireless Sensor Networks

Authors
Qian Xiao, Kang-feng Zheng, Shou-shan Luo, Xu Cui
Corresponding Author
Qian Xiao
Received 1 December 2011, Accepted 15 June 2012, Available Online 1 September 2012.
DOI
10.1080/18756891.2012.733222How to use a DOI?
Keywords
wireless sensor networks, data gathering, network coding, data-privacy preserving, pollution preventing, data obfuscation
Abstract

To provide security for data gathering based on network coding in wireless sensor networks (WSNs), a secure network coding-based data gathering model is proposed, and a data-privacy preserving and pollution preventing (DPP&PP) protocol using network coding is designed. DPP&PP makes use of a new proposed pollution symbol selection and pollution (PSSP) scheme based on a new obfuscation idea to pollute existing symbols. Analyses of DPP&PP show that it not only requires low overhead on computation and communication, but also provides high security on resisting brute-force attacks.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
5 - 5
Pages
887 - 895
Publication Date
2012/09/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2012.733222How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Qian Xiao
AU  - Kang-feng Zheng
AU  - Shou-shan Luo
AU  - Xu Cui
PY  - 2012
DA  - 2012/09/01
TI  - A Secure Network Coding-based Data Gathering Model and Its Protocol in Wireless Sensor Networks
JO  - International Journal of Computational Intelligence Systems
SP  - 887
EP  - 895
VL  - 5
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.733222
DO  - 10.1080/18756891.2012.733222
ID  - Xiao2012
ER  -