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Key Pre-Distributions From Graph-Based Block Designs

Publication ,  Journal Article
Ding, J; Bouabdallah, A; Tarokh, V
Published in: IEEE Sensors Journal
March 15, 2016

With the development of wireless communication technologies which considerably contributed to the development of wireless sensor networks (WSNs), we have witnessed ever-increasing WSN-based applications which induced a host of research activities in both academia and industry. Since most of the target WSN applications are very sensitive, security issue is one of the major challenges in the deployment of WSN. One of the important building blocks in securing WSN is key management. Traditional key management solutions developed for other networks are not suitable for WSN, since WSN networks are resource (e.g., memory, computation, and energy) limited. Key pre-distribution algorithms have recently evolved as efficient alternatives of key management in these networks. Secure communication is achieved between a pair of nodes either by the existence of a key allowing for direct communication or by a chain of keys forming a key path between the pair. In this paper, we consider prior knowledge of network characteristics and application constraints in terms of communication needs between sensor nodes, and we propose methods to design key pre-distribution schemes, in order to provide better security and connectivity while requiring less resources. Our methods are based on casting the prior information as a graph. Motivated by this idea, we also propose a class of quasi-symmetric designs referred here to as g-designs. Our proposed key pre-distribution schemes significantly improve upon the existing constructions based on the unital designs. We give some examples and point out open problems for future research.

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Published In

IEEE Sensors Journal

DOI

ISSN

1530-437X

Publication Date

March 15, 2016

Volume

16

Issue

6

Start / End Page

1842 / 1850

Related Subject Headings

  • Analytical Chemistry
  • 40 Engineering
  • 0913 Mechanical Engineering
  • 0906 Electrical and Electronic Engineering
  • 0205 Optical Physics
 

Citation

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Ding, J., Bouabdallah, A., & Tarokh, V. (2016). Key Pre-Distributions From Graph-Based Block Designs. IEEE Sensors Journal, 16(6), 1842–1850. https://doi.org/10.1109/JSEN.2015.2501429
Ding, J., A. Bouabdallah, and V. Tarokh. “Key Pre-Distributions From Graph-Based Block Designs.” IEEE Sensors Journal 16, no. 6 (March 15, 2016): 1842–50. https://doi.org/10.1109/JSEN.2015.2501429.
Ding J, Bouabdallah A, Tarokh V. Key Pre-Distributions From Graph-Based Block Designs. IEEE Sensors Journal. 2016 Mar 15;16(6):1842–50.
Ding, J., et al. “Key Pre-Distributions From Graph-Based Block Designs.” IEEE Sensors Journal, vol. 16, no. 6, Mar. 2016, pp. 1842–50. Scopus, doi:10.1109/JSEN.2015.2501429.
Ding J, Bouabdallah A, Tarokh V. Key Pre-Distributions From Graph-Based Block Designs. IEEE Sensors Journal. 2016 Mar 15;16(6):1842–1850.

Published In

IEEE Sensors Journal

DOI

ISSN

1530-437X

Publication Date

March 15, 2016

Volume

16

Issue

6

Start / End Page

1842 / 1850

Related Subject Headings

  • Analytical Chemistry
  • 40 Engineering
  • 0913 Mechanical Engineering
  • 0906 Electrical and Electronic Engineering
  • 0205 Optical Physics