ZK-V2XChain: Dataset for Zero-Knowledge Blockchain-Based Location Privacy in Vehicular Networks

This dataset supports the research presented in \u201cZK-V2XChain: A Zero-Knowledge Proof-Enabled Location Privacy Scheme for Sparse Vehicular Networks.\u201d It contains Floating Car Data (FCD) generated using Eclipse SUMO (v1.22.0) for a case study in Tudun Wada area, Kano State, Nigeria. The simulation includes mobility traces, pseudonym exchange logs, entropy and anonymity metrics, blockchain-based identity token authentication results, and ablation studies comparing our scheme against six baseline methods. Key files include SUMO configuration files, MATLAB scripts, vehicle request logs, retry distributions, communication overhead comparisons, and entropy plots. This dataset enables reproducibility of privacy-performance trade-offs in vehicular networks and supports future benchmarking of secure V2X communication protocols in African urban environments.