Private and Secure Over-the-Air Multi-Party Communication

In this paper, we introduce Over-the-Air Multi-Party Communication, a novel approach to achieve efficiently scalable, private, secure, and dependable data aggregation using Over-the-Air computation. The main idea of our approach lies in a combination of techniques from lattice coding, Over-the-Air computation and secure Multi-Party Computation to securely and confidentially aggregate data over a multiple-access channel with additive white Gaussian noise. Our theoretical analysis of the proposed analog scheme developed in this work satisfies the necessary reliability, security, and privacy criteria. Among the potential applications of our approach are smart metering, distributed machine learning, and data aggregation in wireless sensor networks.