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

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...

Full description

Bibliographic Details
Main Authors: Ismail Butun, In-Ho Ra, Ravi Sankar
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:Sensors
Subjects:
intrusion detection
neighborhood watching
clustering
WSN
IDS
hierarchical
Online Access:http://www.mdpi.com/1424-8220/15/11/28960
id doaj-9d39e82e3c874f1b927e72cfa7dedbaa
record_format Article
spelling doaj-9d39e82e3c874f1b927e72cfa7dedbaa2020-11-24T23:21:43ZengMDPI AGSensors1424-82202015-11-011511289602897810.3390/s151128960s151128960An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor NetworksIsmail Butun0In-Ho Ra1Ravi Sankar2Department of Mechatronics Engineering, Bursa Technical University, Gaziakdemir M. Mudanya C. No:4/10, Osmangazi 16190, TurkeySchool of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 573-701, KoreaDepartment of Electrical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USAIn 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.http://www.mdpi.com/1424-8220/15/11/28960intrusion detectionneighborhood watchingclusteringWSNIDShierarchical
collection DOAJ
language English
format Article
sources DOAJ
author Ismail Butun
In-Ho Ra
Ravi Sankar
spellingShingle Ismail Butun
In-Ho Ra
Ravi Sankar
An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
Sensors
intrusion detection
neighborhood watching
clustering
WSN
IDS
hierarchical
author_facet Ismail Butun
In-Ho Ra
Ravi Sankar
author_sort Ismail Butun
title 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_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_sort intrusion detection system based on multi-level clustering for hierarchical wireless sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-11-01
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.
topic intrusion detection
neighborhood watching
clustering
WSN
IDS
hierarchical
url http://www.mdpi.com/1424-8220/15/11/28960
work_keys_str_mv AT ismailbutun anintrusiondetectionsystembasedonmultilevelclusteringforhierarchicalwirelesssensornetworks
AT inhora anintrusiondetectionsystembasedonmultilevelclusteringforhierarchicalwirelesssensornetworks
AT ravisankar anintrusiondetectionsystembasedonmultilevelclusteringforhierarchicalwirelesssensornetworks
AT ismailbutun intrusiondetectionsystembasedonmultilevelclusteringforhierarchicalwirelesssensornetworks
AT inhora intrusiondetectionsystembasedonmultilevelclusteringforhierarchicalwirelesssensornetworks
AT ravisankar intrusiondetectionsystembasedonmultilevelclusteringforhierarchicalwirelesssensornetworks
_version_ 1725570412096520192

Similar Items