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An Efficient Self-Healing Key Distribution Scheme with Constant-Size Personal Keys for Wireless Sensor Networks

Han, S and Tian, B and Zhang, Yanchun and Hu, J (2010) An Efficient Self-Healing Key Distribution Scheme with Constant-Size Personal Keys for Wireless Sensor Networks. In: 2010 IEEE International Conference on Communications. IEEE, pp. 1-5.

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Abstract

The availability of group communications over inexpensive wireless networks has facilitated new types of applications and created new security challenges. One of the security challenges is how to securely distribute session keys over wireless networks. Self-healing key distribution mechanism is an ideal countermeasure for enabling session key distribution and recovery. In order to address the issue that personal keys could not be reused if more than a threshold number of nodes are revoked in self-healing key distribution schemes, a new self-healing key distribution scheme using bilinear pairings is proposed in this paper. Another motivation for developing this new scheme is to reduce computation cost in some existing IDbased self-healing key distribution schemes. The new scheme enables users to have constant size personal keys. The personal key of each user can be reused as long as it is not disclosed. Further, any coalition of non-authorized users can not recover the session keys. That is, the scheme is collusion-free secure. The ID-based scheme can support key management by mitigating the certificate management overload. Additional advantage includes sliding-window mechanism can be applied to our scheme such that it is unnecessary to determine the number of sessions during the Setup procedure.

Item Type: Book Section
ISBN: 9781424464029 (print) 9781424464043 (online)
Additional Information:

Proceedings of a meeting held 23-27 May 2010, Cape Town, South Africa.

Uncontrolled Keywords: ResPubID21631, self-healing key distribution, security, wireless sensor network
Subjects: FOR Classification > 0806 Information Systems
FOR Classification > 1005 Communications Technologies
SEO Classification > 970109 Expanding Knowledge in Engineering
Faculty/School/Research Centre/Department > School of Engineering and Science
Related URLs:
Depositing User: VUIR
Date Deposited: 08 Feb 2013 01:53
Last Modified: 08 Feb 2013 01:53
URI: http://vuir.vu.edu.au/id/eprint/9964
DOI: 10.1109/ICC.2010.5501988
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Citations in Scopus: 0 - View on Scopus

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