Key Feature and Rule-based Intrusion Detection for Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) have a wide application. However, they are of interest to adversaries and are susceptible to some types of attacks for they are deployed in unprotected environments. In this paper we use key feature and rule-based intrusions detection for WSNs. In our scheme, we investigate different defense rules and key features in WSNs to build efficient, accurate and effective intrusion detection systems (IDSs). We also propose a moving window function method to gather the current activity data. The scheme fits the demands and restrictions of WSNs. The scheme does not need any cooperation among other monitor nodes. Simulation results show that we proposed IDSs is efficient and accurate.