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Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System

The proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust an...

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Detalles Bibliográficos
Autores principales: Misra, Sudip, Singh, Ranjit, Rohith Mohan, S. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274228/
https://www.ncbi.nlm.nih.gov/pubmed/22319307
http://dx.doi.org/10.3390/s100403444
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author Misra, Sudip
Singh, Ranjit
Rohith Mohan, S. V.
author_facet Misra, Sudip
Singh, Ranjit
Rohith Mohan, S. V.
author_sort Misra, Sudip
collection PubMed
description The proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust and economical at the nodes, and thirdly, it tackles the problem through fuzzy inference system, as the decision regarding intensity of jamming is seldom crisp. The system with its high robustness, ability to grade nodes with jamming indices, and its true-detection rate as high as 99.8%, is worthy of consideration for information warfare defense purposes.
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spelling pubmed-32742282012-02-08 Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System Misra, Sudip Singh, Ranjit Rohith Mohan, S. V. Sensors (Basel) Article The proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust and economical at the nodes, and thirdly, it tackles the problem through fuzzy inference system, as the decision regarding intensity of jamming is seldom crisp. The system with its high robustness, ability to grade nodes with jamming indices, and its true-detection rate as high as 99.8%, is worthy of consideration for information warfare defense purposes. Molecular Diversity Preservation International (MDPI) 2010-04-08 /pmc/articles/PMC3274228/ /pubmed/22319307 http://dx.doi.org/10.3390/s100403444 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Misra, Sudip
Singh, Ranjit
Rohith Mohan, S. V.
Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_full Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_fullStr Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_full_unstemmed Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_short Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_sort information warfare-worthy jamming attack detection mechanism for wireless sensor networks using a fuzzy inference system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274228/
https://www.ncbi.nlm.nih.gov/pubmed/22319307
http://dx.doi.org/10.3390/s100403444
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