Cargando…

A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks

In cluster-based wireless sensor networks, cluster heads (CHs) gather and fuse data packets from sensor nodes; then, they forward fused packets to the sink node (SN). This helps wireless sensor networks balance energy effectively and efficiently to prolong their lifetime. However, cluster-based WSNs...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Hao, Liu, Yinghong, Dong, Zhe, Wu, Yuanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982835/
https://www.ncbi.nlm.nih.gov/pubmed/31861510
http://dx.doi.org/10.3390/s20010023
_version_ 1783491380395376640
author Fu, Hao
Liu, Yinghong
Dong, Zhe
Wu, Yuanming
author_facet Fu, Hao
Liu, Yinghong
Dong, Zhe
Wu, Yuanming
author_sort Fu, Hao
collection PubMed
description In cluster-based wireless sensor networks, cluster heads (CHs) gather and fuse data packets from sensor nodes; then, they forward fused packets to the sink node (SN). This helps wireless sensor networks balance energy effectively and efficiently to prolong their lifetime. However, cluster-based WSNs are vulnerable to selective forwarding attacks. Compromised CHs would become malicious and launch selective forwarding attacks in which they drop part of or all the packets from other nodes. In this paper, a data clustering algorithm (DCA) for detecting a selective forwarding attack (DCA-SF) is proposed. It can capture and isolate malicious CHs that have launched selective forwarding attacks by clustering their cumulative forwarding rates (CFRs). The DCA-SF algorithm has been strengthened by changing the DCA parameters (Eps, Minpts) adaptively. The simulation results show that the DCA-SF has a low missed detection rate of 1.04% and a false detection rate of 0.42% respectively with low energy consumption.
format Online
Article
Text
id pubmed-6982835
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-69828352020-02-06 A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks Fu, Hao Liu, Yinghong Dong, Zhe Wu, Yuanming Sensors (Basel) Article In cluster-based wireless sensor networks, cluster heads (CHs) gather and fuse data packets from sensor nodes; then, they forward fused packets to the sink node (SN). This helps wireless sensor networks balance energy effectively and efficiently to prolong their lifetime. However, cluster-based WSNs are vulnerable to selective forwarding attacks. Compromised CHs would become malicious and launch selective forwarding attacks in which they drop part of or all the packets from other nodes. In this paper, a data clustering algorithm (DCA) for detecting a selective forwarding attack (DCA-SF) is proposed. It can capture and isolate malicious CHs that have launched selective forwarding attacks by clustering their cumulative forwarding rates (CFRs). The DCA-SF algorithm has been strengthened by changing the DCA parameters (Eps, Minpts) adaptively. The simulation results show that the DCA-SF has a low missed detection rate of 1.04% and a false detection rate of 0.42% respectively with low energy consumption. MDPI 2019-12-19 /pmc/articles/PMC6982835/ /pubmed/31861510 http://dx.doi.org/10.3390/s20010023 Text en © 2019 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fu, Hao
Liu, Yinghong
Dong, Zhe
Wu, Yuanming
A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks
title A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks
title_full A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks
title_fullStr A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks
title_full_unstemmed A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks
title_short A Data Clustering Algorithm for Detecting Selective Forwarding Attack in Cluster-Based Wireless Sensor Networks
title_sort data clustering algorithm for detecting selective forwarding attack in cluster-based wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982835/
https://www.ncbi.nlm.nih.gov/pubmed/31861510
http://dx.doi.org/10.3390/s20010023
work_keys_str_mv AT fuhao adataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT liuyinghong adataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT dongzhe adataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT wuyuanming adataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT fuhao dataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT liuyinghong dataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT dongzhe dataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks
AT wuyuanming dataclusteringalgorithmfordetectingselectiveforwardingattackinclusterbasedwirelesssensornetworks