A Survey on Wireless Intrusion Detection using Data Mining Techniques

An Intrusion Detection System (IDS) is a system for detecting intrusions and reporting to the authority or to the network administration. In recent years, since the computer network keeps expanding drastically, the incidents of data theft and hacking are also increased. In order to control and monitor such activity that violates the security policy of system, it is necessary to have intrusion detection system (IDS) in a network. Intrusions are commonly high in wireless network when compared to wired networks, irrespective of wireless networks like Wireless sensor network (WSN)/Wireless ad-hoc network (WAHN) the vulnerability is very high because there is no perimeter security as defined or stated in wired networks. Data mining techniques have been successfully applied in many fields like Network Management, Education, Biology, Management studies, Production engineering, Process control, and Fraud Detection. The objective of this survey paper is to discuss the various methods which are being used for wireless intrusion Detection in WSN & WAHN based on Data mining concepts.