Design and Developement of Hybrid Intrusion Detection System for Wireless Sensor Networks

With evolution in electronic and wireless communication the cost of sensors having multi-function capability has dropped down dramatically. Also the power consumption by these sensors also came down. The sensors consists of wireless communication and capturing devices with data processing capability. The sensors are very useful for many military and civil applications, in collecting and processing information from unfriendly environment and difficult to access locations such as battlefield investigation, environment monitoring, etc. Thus the WSN’s are point of attraction for the attackers as they are deployed in open and unprotected environment. The characteristics of wireless infrastructure and characteristics of WSNs cause potential risks of attacks on the network. Numerous studies have attempted to address vulnerabilities in WSNs. Current research on security in sensor networks generally focuses on secure routing protocols, key management and prevention techniques for specific attacks. Although research on security (related to) issues in WSN is productive, the need for a security framework for WSNs still exists. Intrusion Detection System (IDS) is a common prevention mechanism which protects the network from intrusion. Here we study the problem of intrusion detection in WSNs, and propose a hybrid intrusion detection framework for clustered sensor networks.In this paper we have proposed Hybrid Intrusion Detection System for Wireless Sensor Network. It combines the benefits of both anomaly detection and signature based detection of intrusions. The anomaly detection is based on Support Vector Machine (SVM) which then forwards the result to misuse detection algorithm for further necessary action. The work together as Hybrid system for intrusion detection