An Efficient and Verifiable Privacy-Preserving Data Aggregation Scheme for Wireless Sensor Networks

Abstract

Data aggregation is an important techniques to save energy consumption in wireless sensor networks. However, the compromised aggregators may forge fake values as the aggregated results of their child nodes. In this paper, we proposed an efficient secure data aggregation scheme to overcome the problem. Integrated with the privacy homomorphism and the aggregate message authentication code techniques, our proposal can provide both end-to-end privacy and data integrity in data aggregation for sensor networks. The performance analysis shows that compared with other existing secure data aggregation schemes, the proposed scheme has remarkable advantages in terms of computation and communication overhead.