An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
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Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Mdpi Ag
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Sankar, Ravi/0000-0003-2206-6767; Butun, Ismail/0000-0002-1723-5741
Anahtar Kelimeler
intrusion detection, neighborhood watching, clustering, WSN, IDS, hierarchical
Kaynak
Sensors
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
15
Sayı
11
