Spatial Correlation Based Secure Data Aggregation Scheme in Wireless Sensor Networks

Abstract

In wireless sensor networks, the communication cost is often several orders of magnitude higher than that of computation. Data aggregation is an essential technique to reduce the communication cost and prolong network lifetime. As wireless sensor networks are usually deployed in unattended or even hostile circumstances to collect sensitive information, sensor nodes are prone to node compromise attacks. Therefore, security should be considered for data aggregation schemes where high data reliability and high data accuracy are both required. We propose a spatial correlation based secure data aggregation scheme which combines abnormal behaviors detection with data aggregation in this paper. It can detect and exclude the exceptional data values within the cluster in order to reduce the influence of malicious attacks and abnormal transmission errors. We show through experiments that our proposed scheme can provide high detection accuracy ratio and low false alarm ratio.