Dynamic resiliency analysis of key predistribution in wireless sensor networks

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Durahim, Onur Ahmet and Levi, Albert (2009) Dynamic resiliency analysis of key predistribution in wireless sensor networks. In: IEEE International Conference on Communications, 2009 (ICC '09), Dresden, Germany

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Official URL: http://dx.doi.org/10.1109/ICC.2009.5198959


Wireless sensor networks have been analyzed for more than a decade from operational and security points of view. Several key predistribution schemes have been proposed in the literature. Although valuable and state-of-the-art proposals have been made, their corresponding security analyses have not been performed by considering the dynamic nature of networking behavior and the time dimension. The sole metric used for resiliency analysis of key predistribution schemes is "fraction of links compromised" which is roughly defined as the ratio of secure communication links that the adversary can compromise over all secure links. However, this metric does not consider the dynamic nature of the network; it just analyzes a snapshot of the network without considering the time dimension. For example, possible dead nodes may cause change of routes and some captured links become useless for the attacker as time goes by. Moreover, an attacker cannot perform sensor node capturing at once, but performs over time. That is why a methodology for dynamic security analysis is needed in order to analyze the change of resiliency in time a more realistic way. In this paper, we propose such a dynamic approach to measure the resiliency of key predistribution schemes in sensor networks. We take the time dimension into account with a new performance metric, "captured message fraction". This metric is defined as the percentage of the messages generated within the network to be forwarded to the base station (sink) that are captured and read by the attacker. Our results show that for the cases where the static fraction of links compromised metric indicates approximately 40% of the links are compromised, our proposed captured message fraction metric shows 80% of the messages are captured by the attacker. This clearly proves the limitations of the static resiliency analysis in the literature.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:message capture; node capture; resiliency analysis; sensor networks; minimum cost routing; key predistribution
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware
ID Code:12933
Deposited By:Albert Levi
Deposited On:30 Nov 2009 22:32
Last Modified:24 Jul 2019 09:36

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