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Wireless Sensor Network Security: Approaches to Detecting and Avoiding Wormhole Attacks

Authors: Derek Mohammed; Marwan Omar; Van Nguyen;

Wireless Sensor Network Security: Approaches to Detecting and Avoiding Wormhole Attacks

Abstract

This paper explores Wireless Sensor Networks (WSNs) and the related security issues and complications arising from a specific type of security breach, the wormhole attack. Wormhole attacks against WSNs are classified as passive, external laptop-class threats. Because malicious wormhole attacks are increasing, these attacks pose a serious security threat and increase the costs to maintain a Wireless Sensor Network. Research into preventing wormhole attacks yields two distinct model approach types: Administrator-Viewpoint models and User-Viewpoint models. While the modalities vary, the four Administrator-Viewpoint models reviewed were designed in the early 2000s and suggest defending against wormhole attacks through the use of expensive hardware, packet leashes, or topology visualization systems. On the other hand, the four proposed User-Viewpoint models have become the current theoretical models of choice. While existing as simulation approaches to defend against wormhole attacks, the User-Viewpoint models use internally calculated routing algorithms to suggest routes to avoid or evade, not defend against, established wormhole routes. This paper confirms the efficacies of the User-Viewpoint models in the lab simulations are viewed as the most promising cost-effective, future security solutions to wormhole attacks.

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Keywords

Wireless Sensor Networks, Wormholes, Security, Sensor nodes

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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