测绘通报 ›› 2026, Vol. 0 ›› Issue (5): 155-160.doi: 10.13474/j.cnki.11-2246.2026.0525

• 技术交流 • 上一篇    

智能网联汽车时空数据地理信息安全保障机制研究

陈卓宁1, 刘畅畅1, 侯笑宇1, 马照亭2, 贺风1, 潘忠凯2   

  1. 1. 中国地图出版社集团有限公司, 北京 100054;
    2. 中国测绘科学研究院, 北京 100036
  • 收稿日期:2025-04-03 发布日期:2026-06-09
  • 通讯作者: 侯笑宇。E-mail:houxiaoyu@sinomaps.com
  • 作者简介:陈卓宁(1979—),男,副编审,长期从事地图出版与地理信息系统应用工作。E-mail:chenzhuoning@sinomaps.com
  • 基金资助:
    国家重点研发计划(2024YFB2505800);自然资源科技战略研究项目(2023-ZL-31)

Research on the geographic information security guarantee mechanism of spatio-temporal data in intelligent connected vehicles

CHEN Zhuoning1, LIU Changchang1, HOU Xiaoyu1, MA Zhaoting2, HE Feng1, PAN Zhongkai2   

  1. 1. Sinomap Press Group Co., Ltd., Beijing 100054, China;
    2. Chinese Academy of Surveying and Mapping, Beijing 100036, China
  • Received:2025-04-03 Published:2026-06-09

摘要: 随着智能网联汽车的快速发展,其产生的时空数据已成为支撑自动驾驶与车路云一体化建设的核心要素,但也面临地理信息泄露、数据篡改等安全风险。本文聚焦智能网联汽车时空数据地理信息安全问题,系统梳理车路云一体化智能网联汽车涉及的各类时空数据,面向智能网联汽车时空数据采集、传输、汇聚、融合、分发和应用的全流程数据处理活动,设计了一套满足地理信息安全要求的数据安全保障机制,为实现大规模、高质量时空数据的行业安全合规使用提供了支撑,并提出了智能网联汽车时空数据安全发展方向的若干建议。

关键词: 智能网联汽车, 时空数据, 地理信息安全, 保障机制

Abstract: With the rapid development of intelligent connected vehicles(ICVs), the spatio-temporal data generated has become a core element supporting the developement of autonomous driving and the vehicle-road-cloud integration. However, it also faces security risks such as geographic information leakage and data tampering.Focusing on the geographic information security issues of ICVs spatio-temporal data, this article summarizes the various types of spatiotemporal data involved in vehicle-road-cloud integration.Targeting the whole-process data processing activities of ICVs spatio-temporal data including collection, transmission, aggregation,fusion, distribution and application, it designs a data security guarantee mechanism that meets the requirements of geographic information security.It provides support for the safe and compliant use of large-scale and high-quality spatio-temporal data in the industry, and offers suggestions for the development direction of spatio-temporal data security in intelligent connected vehicles.

Key words: intelligent connected vehicles, spatio-temporal data, geographical information security, security guarantee mechanism

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