Schnorr Approval-Based Secure and Privacy-Preserving IoV Data Aggregation

arXiv:2402.09621v1 Announce Type: new
Abstract: Secure and privacy-preserving data aggregation in the Internet of Vehicles (IoV) continues to be a focal point of interest in both the industry and academia. Aiming at tackling the challenges and solving the remaining limitations of existing works, this paper introduces a novel Schnorr approval-based IoV data aggregation framework based on a two-layered architecture. In this framework, a server can aggregate the IoV data from clusters without inferring the raw data, real identity and trajectories …

academia aggregation arxiv challenges cs.cr cs.ni data industry interest internet limitations novel point privacy vehicles