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Sensors 2015, 15(11), 28960-28978; doi:10.3390/s151128960

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

1
Department of Mechatronics Engineering, Bursa Technical University, Gaziakdemir M. Mudanya C. No:4/10, Osmangazi 16190, Turkey
2
Department of Electrical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA
3
School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 573-701, Korea
*
Authors to whom correspondence should be addressed.
Academic Editor: Mohamed F. Younis
Received: 5 July 2015 / Revised: 17 September 2015 / Accepted: 9 November 2015 / Published: 17 November 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [3029 KB, uploaded 23 November 2015]   |  

Abstract

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. View Full-Text
Keywords: intrusion detection; neighborhood watching; clustering; WSN; IDS; hierarchical intrusion detection; neighborhood watching; clustering; WSN; IDS; hierarchical
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Butun, I.; Ra, I.-H.; Sankar, R. An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks. Sensors 2015, 15, 28960-28978.

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