Separable Public Key-Based Multidimensional Privacy-Preserving Data Aggregation Scheme for Wireless Sensor Networks

In wireless sensor networks, performing data aggregation while preserving data privacy is a challenging problem. Recently, public key homomorphism encryption schemes have been proved to be feasible to solve this problem. However, when processing multidimensional data aggregation, the communication overhead will be intolerable if each dimension data is encrypted individually. In this paper, we present a separable public key-based multidimensional privacy preserving data aggregation scheme to protect data confidentiality and improve energy efficiency by compressing multidimensional data into one dimension. The aggregated result is unpacked at the base station to recover the aggregated data of each dimension. To the best of our knowledge, our scheme is the first one that uses separable public key-based privacy homomorphism to reduce communication overhead of multidimensional data aggregation.