A Granulometric Size Distribution based intrusion detection method for WSN

Security issue in Wireless Sensor Networks (WSNs) has long been the topic of extensive research in the last decade. Data encryption and authentication are the most common methods to address the security issues in WSN. However, these efforts are ineffective in detecting the diverse malicious attacks, especially in intrusion detection. Comparatively, very few attentions have been paid for detecting intrusive nodes in a common WSN topology. Therefore, in this paper we derive an innovative method called GSD method for detecting malicious attack in WSNs, such as intrusion detection. Link Quality Indicator (LQI) data of each node are utilized as the network parameters in this method. The simulation results show their effectiveness in intrusion detection.