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2021 | OriginalPaper | Buchkapitel

A Technique to Detect Wormhole Attack in Wireless Sensor Network Using Artificial Neural Network

verfasst von : Moirangthem Marjit Singh, Nishigandha Dutta, Thounaojam Rupachandra Singh, Utpal Nandi

Erschienen in: Evolutionary Computing and Mobile Sustainable Networks

Verlag: Springer Singapore

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Abstract

Wormhole attack is a harmful attack that disrupts the normal functioning of the network by manipulating routing protocols and exhausting network resources. The paper presents a technique that detects the presence of wormhole attack in wireless sensor network (WSN) using artificial neural network (ANN). The proposed technique uses connectivity information between any two sensor nodes as the detection feature. The proposed technique has been implemented considering the deployment of sensor nodes in the wireless sensor network area under uniform, Poisson, Gaussian, exponential, gamma & beta probability distributions. The proposed technique does not require any additional hardware resources and gives a comparatively high percentage of detection accuracy.

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Nächstes Kapitel A Survey on Methodologies and Algorithms for Mutual Authentication in IoT Devices

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Titel: A Technique to Detect Wormhole Attack in Wireless Sensor Network Using Artificial Neural Network
verfasst von: Moirangthem Marjit Singh
Nishigandha Dutta
Thounaojam Rupachandra Singh
Utpal Nandi
Verlag: Springer Singapore
Buch: Evolutionary Computing and Mobile Sustainable Networks
Print ISBN: 978-981-15-5257-1

Electronic ISBN: 978-981-15-5258-8

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-15-5258-8_29

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