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

Sensors

Ismail Butun¹  In-Ho Ra²  Ravi Sankar³ 

[1] Department of Mechatronics Engineering, Bursa Technical University, Gaziakdemir M. Mudanya C. No:4/10, Osmangazi 16190, Turkey;School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 573-701, Korea;Department of Electrical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA; E-Mail:

关键词: intrusion detection;    neighborhood watching;    clustering;    WSN;    IDS;    hierarchical;   

DOI  :  10.3390/s151128960

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.