Secure framework for data centric heterogeneous wireless sensor networks

Abstract

Data aggregation is an important task in data centric heterogeneous wireless sensor networks because of its varying power and computational capabilities. Due to the deployment of sensor nodes in large numbers for different applications, a single node is not sufficient for performing data aggregation. Hence multiple nodes are required to summarize the relevant information from huge data sets. The process of data aggregation is vulnerable to many threats like loss of cryptographic keys, false data injection etc. To address these issues, we present the Secure Data Aggregation with Key Management (SDAKM) scheme. It provides a secure framework for the data centric heterogeneous wireless sensor networks using additive privacy homomorphism. It uses the heterogeneity of the sensor nodes for performing encrypted data processing and also provides an efficient key management scheme for data communication among sensor nodes in the network. This scheme offers higher security and has less computing overhead as it uses additive privacy homomorphism. © 2010 Springer-Verlag Berlin Heidelberg.