Intrusion Detection Framework of Cluster-based Wireless Sensor Network

被引:0
|
作者
Sedjelmaci, Hichem [1 ]
Senouci, Sidi Mohammed [2 ]
Feham, Mohammed [1 ]
机构
[1] Abou Bakr Belkaid Univ, STIC Lab, Tilimsen, Algeria
[2] Univ Bourgogne, F-58000 Nevers, France
关键词
Wireless sensor network; Clustering; Intrusion detection system; Anomaly detection; Signature detection;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Wireless sensor networks (WSNs) have a huge potential to be used in critical situations like military and commercial applications. However, these applications are required often to be deployed in hostile environments, where nodes and communication are attractive targets to attackers. This makes WSNs vulnerable to a variety of potential attacks. Due to their characteristics, conventional security mechanisms are not applicable. In this context, we propose an intrusion detection framework for a cluster-based WSN (CWSN) that aims to combine the advantage of anomaly and signature detection which are high detection rate and low false positive, respectively.
引用
收藏
页码:857 / 861
页数:5
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