Increasing resiliency in multi-phase wireless sensor networks: generationwise key predistribution approach

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Ergun, Murat and Levi, Albert and Savaş, Erkay (2011) Increasing resiliency in multi-phase wireless sensor networks: generationwise key predistribution approach. The Computer Journal, 54 (4). pp. 602-616. ISSN 0010-4620

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Abstract

In wireless sensor networks (WSNs), sensor nodes eventually die due to battery depletion. WSNs in which new nodes are periodically redeployed with certain intervals, called generations, to replace the dead nodes are called multi-phase WSNs. In the literature, there are several key predistribution schemes proposed for secure operation of WSNs. However, these schemes are designed for single-phase networks which are not resilient against continuous node capture attacks; even under temporary attacks on the network, the harm caused by the attacker does not heal in time. However, the periodic deployments in multi-phase sensor networks could be utilized to improve the resiliency of the WSNs by deploying nodes with fresh keys. In the literature, there is limited work done in this area. In this paper, we propose a key predistribution scheme for multi-phase WSNs which is resilient under node capture attacks. In our scheme, called random generation material (RGM) key predistribution scheme, each generation of deployment has its own random keying material and pairwise keys are established between node pairs of particular generations. These keys are specific to these generations. Therefore, a captured node cannot be abused to obtain keys of other generations. We compare the performance of our RGM scheme with a well-known multi-phase key predistribution scheme and show that RGM achieves up to 3-fold more resiliency. Even under heavy attacks, our scheme's resiliency performance is 35 % better in steady state.
Item Type: Article
Uncontrolled Keywords: multi-phase wireless sensor networks; security; key predistribution; generation keys
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Albert Levi
Date Deposited: 25 Apr 2011 10:34
Last Modified: 29 Jul 2019 15:14
URI: https://research.sabanciuniv.edu/id/eprint/16465

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