An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network

Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is u...

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Detalles Bibliográficos
Autores principales: Sun, Xuemei, Yan, Bo, Zhang, Xinzhong, Rong, Chuitian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598086/
https://www.ncbi.nlm.nih.gov/pubmed/26447696
http://dx.doi.org/10.1371/journal.pone.0139513
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author Sun, Xuemei
Yan, Bo
Zhang, Xinzhong
Rong, Chuitian
author_facet Sun, Xuemei
Yan, Bo
Zhang, Xinzhong
Rong, Chuitian
author_sort Sun, Xuemei
collection PubMed
description Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is used for anomaly detection of sensor nodes, cluster-head nodes and Sink nodes. Cultural-Algorithm and Artificial-Fish–Swarm-Algorithm optimized Back Propagation is applied to mis-use detection of Sink node. Plenty of simulation demonstrates that this integrated model has a strong performance of intrusion detection.
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spelling pubmed-45980862015-10-20 An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network Sun, Xuemei Yan, Bo Zhang, Xinzhong Rong, Chuitian PLoS One Research Article Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is used for anomaly detection of sensor nodes, cluster-head nodes and Sink nodes. Cultural-Algorithm and Artificial-Fish–Swarm-Algorithm optimized Back Propagation is applied to mis-use detection of Sink node. Plenty of simulation demonstrates that this integrated model has a strong performance of intrusion detection. Public Library of Science 2015-10-08 /pmc/articles/PMC4598086/ /pubmed/26447696 http://dx.doi.org/10.1371/journal.pone.0139513 Text en © 2015 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sun, Xuemei
Yan, Bo
Zhang, Xinzhong
Rong, Chuitian
An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
title An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
title_full An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
title_fullStr An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
title_full_unstemmed An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
title_short An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network
title_sort integrated intrusion detection model of cluster-based wireless sensor network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598086/
https://www.ncbi.nlm.nih.gov/pubmed/26447696
http://dx.doi.org/10.1371/journal.pone.0139513
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