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Wormhole attack detection in wireless sensor networks

Authors: Mostefa Bendjima; Mohammed Feham;

Wormhole attack detection in wireless sensor networks

Abstract

A wireless sensor network (WSN) consists of a large number of sensor nodes with limited batteries, the sensoring devices are deployed randomly on a zone to collect data. WSNs are threatened by several malicious behaviors caused by some nodes. The impact of such behaviors can be serious, even fatal, due to the collaborative nature of nodes in a network without fixed infrastructure. Then, in this work we have referred to the need for a secure network communication network with mechanisms that take into account the limited resources of the nodes. In order to achieve such a security, the network can be split into sectors, and mobile agents (MAs) can be used to reject traffic intruders caused by Wormhole attacks taking into account energy constraint. Wormhole attack is a denial of service attack launched by malicious nodes by creating a tunnel through which the packets are replayed to malicious nodes disrupting the communication channel and corrupting network routing. In order to evaluate the performance of our proposal, we have carried out several simulation tests using the SINALGO simulator. The results obtained show that our proposal extends the life of the network, in terms of energy consumption and the rate of packet delivery.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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