WiP: Verifiable, Secure and Energy-Efficient Private Data Aggregation in Wireless Sensor Networks

Paper i proceeding, 2022

Large amounts of data are collected by IoT devices, and transmitted wirelessly to cloud servers for aggregation. These data are often sensitive and need to remain secret. Moreover, the employed servers might be untrustworthy, and maliciously alter their results. To address this, public verifiability must be provided, i.e., anyone can check the result's correctness. Nevertheless, any such protocol must also cope with the limited battery capacity of the IoT devices. We investigate the problem of verifiable, privacy-preserving aggregation and how to accommodate the IoT energy-efficiency requirements, in the context of a 5G wireless communication setting. We revisit the verifiable additive homomorphic secret sharing (VAHSS), which computes the sum of K sensors' data. We propose a threshold secure and private VAHSS protocol where only a subset of the servers is needed for computing the sum. This sum is publicly verifiable thanks to a proof created during the protocol. We provide an energy efficiency analysis, including the trade-off between the sensors' transmitted power and the protocol's failure probability due to decoding errors in the wireless transmission phase.