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     Research Journal of Applied Sciences, Engineering and Technology


A Dynamic Self-Healing Key Management Scheme for Wireless Sensor Networks Based on EBS

1Jianting Ning and 2Xinchun Yin
1Department of Information Engineering, Yangzhou University, Yangzhou Jiangsu, China
2State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing Jiangsu, China
Research Journal of Applied Sciences, Engineering and Technology  2013  3:1048-1053
http://dx.doi.org/10.19026/rjaset.5.5061  |  © The Author(s) 2013
Received: June 29, 2012  |  Accepted: July 28, 2012  |  Published: January 21, 2013

Abstract

A self-healing mechanism in key management is an important means for large-scale clustering wireless sensor networks that enable non-revoked nodes use their private information and the received broadcast messages to recover the lost session keys on their own. In this study, we propose a dynamic self-healing key management scheme for large-scale clustering wireless sensor networks that is based on Exclusion Basis System (EBS). We use forward and backward key chains to form cluster session key chain for self-healing, take t-degree polynomial keys to replace the original keys used in EBS. The analysis shows that the proposed scheme has the properties of forward and backward secrecy and resisting to a collusion attack, which is suitable for resource-constrained wireless sensor networks.

Keywords:

Dynamic key management, Exclusion Basis System (EBS), self-healing, wireless sensor networks,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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