Research Article
A Granulometric Size Distribution based Intrusion Detection Method for WSN
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256396, author={Yanwen Wang and Xiaoling Wu and Hainan Chen and Guangcong Liu}, title={A Granulometric Size Distribution based Intrusion Detection Method for WSN}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={wireless sensor networks (wsns) intrusion detection gsd lqi}, doi={10.4108/icst.chinacom.2014.256396} }- Yanwen Wang
Xiaoling Wu
Hainan Chen
Guangcong Liu
Year: 2015
A Granulometric Size Distribution based Intrusion Detection Method for WSN
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256396
Abstract
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 its effectiveness in intrusion detection.