ZKP-ID Dataset for Privacy-Preserving Digital Identity Verification in Saudi E-Government Services

The dataset provides comprehensive experimental results supporting the evaluation of the proposed ZKP-ID framework for privacy-preserving digital identity verification in Saudi e-government services. It includes five components: (i) micro-benchmark latency measurements for zk-SNARK proof generation and verification across different circuit types, (ii) large-scale load testing results capturing system throughput and latency under varying concurrent user conditions, (iii) privacy disclosure analysis comparing traditional identity systems with the ZKP-ID approach, (iv) simulated attack validation results assessing robustness against impersonation, replay, linkage, and inference attacks, and (v) user survey data evaluating trust, perceived privacy, and system usability. The dataset was generated using a combination of real cryptographic execution, controlled simulations, and anonymized user studies, enabling full reproducibility of the experimental findings reported in the paper.