Research Article
A New Energy Prediction Approach for Intrusion Detection in Cluster-Based Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-33368-2_1, author={Wen Shen and Guangjie Han and Lei Shu and Joel Rodrigues and Naveen Chilamkurti}, title={A New Energy Prediction Approach for Intrusion Detection in Cluster-Based Wireless Sensor Networks}, proceedings={Green Communications and Networking. First International Conference, GreeNets 2011, Colmar, France, October 5-7, 2011, Revised Selected Papers}, proceedings_a={GREENETS}, year={2012}, month={11}, keywords={Wireless Sensor Networks Intrusion Detection Energy Prediction DoS Attacks Recognition}, doi={10.1007/978-3-642-33368-2_1} }- Wen Shen
Guangjie Han
Lei Shu
Joel Rodrigues
Naveen Chilamkurti
Year: 2012
A New Energy Prediction Approach for Intrusion Detection in Cluster-Based Wireless Sensor Networks
GREENETS
Springer
DOI: 10.1007/978-3-642-33368-2_1
Abstract
Wireless Sensor Networks (WSNs) require an efficient intrusion detection scheme to identify malicious attackers. Traditional detection schemes are not well suited for WSNs due to their higher false detection rate. In this paper, we propose a novel intrusion detection scheme based on the energy prediction in cluster-based WSNs (EPIDS). The main contribution of EPIDS is to detect attackers by comparing the energy consumptions of sensor nodes. The sensor nodes with abnormal energy consumptions are identified as malicious attackers. Furthermore, EPIDS is designed to distinguish the types of denial of service (DoS) attack according to the energy consumption rate of the malicious nodes. The primary simulation experiments prove that EPIDS can detect and recognize malicious attacks effectively.