Novel hybrid intrusion detection system for clustered wireless sensor network

Details Novel hybrid intrusion detection system for clustered wireless sensor network Novel hybrid intrusion detection system for clustered wireless sensor network

2011-08-12

arxiv.org/abs/1108.2656v1

Computer Science

Cryptography and Security

14 pages

Scientific paper

10.5121/ijnsa.2011.3401

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.

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