NOVEL HYBRID INTRUSION DETECTION SYSTEM FOR CLUSTERED WIRELESS SENSOR NETWORK
Hichem Sedjelmaci1 and Mohamed Feham1
STIC Lab, Department of telecommunications, Abou Bakr Belkaid University, Tlemcen, Algeria
ABSTRACT
Wireless sensor network (WSN) is regularly deployed in unattended and hostile environments. The WSN is vulnerable to security threats and susceptible to physical capture. Thus, it is necessary to use effective mechanisms to protect the network. It is widely known, that the intrusion detection is one of the most efficient security mechanisms to protect the network against malicious attacks or unauthorized access. In this paper, we propose a hybrid intrusion detection system for clustered WSN. Our intrusion framework uses a combination between the Anomaly Detection based on support vector machine (SVM) and the Misuse Detection. Experiments results show that most of routing attacks can be detected with low false alarm.
KEYWORDS
Wireless Sensor Network, Hybrid Intrusion Detection System, Support Vector Machine (SVM), Classification Accuracy, False alarm
Original Source Link : http://airccse.org/journal/nsa/0711ijnsa01.pdf
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