Synthetic Passenger Name Record for Security Analysis

This dataset contains synthetic Passenger Name Record (PNR) data simulating international air travel bookings across countries in the Schengen region during 2019. It includes over 400,000 synthetic passengers and 20,000+ flights formatted in XML following the IATA PNRGOV v16.1 schema. Coverage note: the dataset is limited to PNRs processed by the Greek Passenger Information Unit (PIU), and therefore focuses on itineraries that enter, exit, or transit Greece. The data supports research in air travel modeling, mobility analysis, and aviation security, and is fully privacy-preserving. See the accompanying technical documentation and paper for full methodology and known limitations. Associated paper: Fadlian, M. F., Ireson, N., & Lanfranchi, V. (2025). *Generating realistic Passenger Name Records with privacy compliance for security analysis*. Proceedings of the International ISCRAM Conference. https://doi.org/10.59297/mbf3dq94本数据集包含合成式乘客姓名记录（Passenger Name Record, PNR）数据，模拟了2019年申根区各国间的国际航空旅行预订场景。数据集涵盖超过40万名合成乘客与2万余条航班数据，所有数据均遵循国际航空运输协会（International Air Transport Association, IATA）PNRGOV v16.1规范，以可扩展标记语言（XML）格式存储。 数据覆盖说明：本数据集仅包含由希腊乘客信息部门（Passenger Information Unit, PIU）处理的PNR数据，因此聚焦于入境、出境或过境希腊的航空行程。 该数据集可支撑航空旅行建模、流动分析以及航空安全领域的研究工作，且完全符合隐私保护要求。完整的研究方法与已知局限性说明，请参阅配套的技术文档与相关论文。 关联论文：Fadlian, M. F.、Ireson, N.与Lanfranchi, V.（2025）。《面向安全分析且符合隐私合规要求的真实乘客姓名记录生成》，发表于国际ISCRAM会议论文集。https://doi.org/10.59297/mbf3dq94