An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks

In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) “downward-IDS (D-IDS)” to detect the abnormal behavior (intrusion) of the subordin...

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Detalles Bibliográficos
Autores principales: Butun, Ismail, Ra, In-Ho, Sankar, Ravi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701316/
https://www.ncbi.nlm.nih.gov/pubmed/26593915
http://dx.doi.org/10.3390/s151128960
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author Butun, Ismail
Ra, In-Ho
Sankar, Ravi
author_facet Butun, Ismail
Ra, In-Ho
Sankar, Ravi
author_sort Butun, Ismail
collection PubMed
description In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) “downward-IDS (D-IDS)” to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) “upward-IDS (U-IDS)” to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented.
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spelling pubmed-47013162016-01-19 An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks Butun, Ismail Ra, In-Ho Sankar, Ravi Sensors (Basel) Article In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) “downward-IDS (D-IDS)” to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) “upward-IDS (U-IDS)” to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented. MDPI 2015-11-17 /pmc/articles/PMC4701316/ /pubmed/26593915 http://dx.doi.org/10.3390/s151128960 Text en © 2015 by the authors; licensee MDPI, 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/4.0/).
spellingShingle Article
Butun, Ismail
Ra, In-Ho
Sankar, Ravi
An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
title An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
title_full An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
title_fullStr An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
title_full_unstemmed An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
title_short An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
title_sort intrusion detection system based on multi-level clustering for hierarchical wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701316/
https://www.ncbi.nlm.nih.gov/pubmed/26593915
http://dx.doi.org/10.3390/s151128960
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