Key Technologies and Methods for Vector Geographic Data Security Protection
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摘要: 近年来，矢量地理数据在政府、国防、国土、交通、海洋等多个领域广泛应用.矢量地理数据在存储、传输、共享过程中正面临日趋严重的安全威胁.矢量地理数据的安全保护与数据共享矛盾已成为制约地理信息产业发展的关键问题之一.针对上述问题，分析了现有矢量地理数据安全保护中数据加密、数据水印、数据置乱和信息伪装等若干关键技术及其进展，分析了矢量地理数据安全保护所面临的方法及新技术融合带来的技术挑战.结合当前矢量地理数据和网络空间安全领域的新进展，提出了敏感信息度量和局部动态处理等一些未来研究和发展的重要方向，为矢量地理数据安全保护与数据共享技术的研究和应用作出一些有益的探索.Abstract: In recent years, vector geographic data have been widely used in fields of government, national defense, land, transportation, and marine. Vector geographic data are facing increasingly serious security threats in the process of storage, transmission and sharing. The contradiction between the security protection of vector geographic data and data sharing has become one of the key issues restraining the development of geographic information industry. Considering the above concerns, in this paper it analyzes several key technologies and progresses in existing vector geographic data security protection such as data encryption, data watermarking, data scrambling, and information steganography, and discusses the technical challenges that vector geographic data security protection is facing from the methods and integration of new technologies. Combining with the current advances in the field of vector geographic data and cyberspace security, some important directions for future research and development, such as sensitive information measurement and local dynamic processing, are proposed, which provide some advices for the research and application development of vector geographic data security and data sharing.
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Key words:
- geographic data /
- vector geographic data /
- data security /
- sensitive information
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表 1 主要技术分析总结
Table 1. Analysis and summary of main technologies
内容 主要适用范围 主要目标 主要优势 主要缺点 传统密码学 存储、传输 机密性、完整性 安全性高 效率低 混沌加密 存储、传输 机密性 处理效率高、安全性高 密钥管理困难、难以同时保持高精度与高保密性 变换域加密 共享、存储 机密性 可选择性强、高效性 难以动态处理特定区域 随机数据置乱 共享、存储 机密性、可控性 简洁性、高效性 难以保持特定结构 数学变换置乱 共享、存储 机密性、可控性 简洁性、拓扑一致性 存在被校正风险 空域水印 存储、传输等阶段 完整性、版权保护 简洁性、鲁棒性 精度影响较大 变换域水印 存储、传输等阶段 完整性、版权保护 鲁棒性、抗差性 算法较复杂 
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