摘要
矢量地理数据具有位置精度高、语义丰富、空间关系明确等特点,易于同各类专题信息集成、融合使用,是地理信息系统的一类重要数据源。互联网和大数据背景下,矢量地理数据面临泄密、侵权、窃取等安全隐患日益凸显。为此,本文分析比较了几类主要的矢量空间数据安全技术,认为数据置乱技术具有较为均衡的安全防护性能,实际应用潜力大,将经典的图像数据置乱思路引入矢量地理数据,提出了一种基于三维Arnold变换的矢量地理数据置乱加密方法。实验表明,该方法简洁高效,具有置乱度高、保持原有数据结构、完全可逆和抗暴力攻击等特点。
Vector geographic data has the characteristics of high location accuracy,enriched semantic,and definite spatial relationships.It can be used easily to integrate with various thematic information.It is an important data source of geographic information system.In the context of Internet and Big Data,the security hazards and potential threats such as leakage,infringement,and theft of vector geographic data have become increasingly prominent.Therefore,this paper analyzes and compares several main vector spatial data security technologies,and holds that the data scrambling technology has a relatively balanced security performance and great potential for practical application.In this paper,the classic image data scrambling idea is introduced into vector geographic data,and a vector geographic data scrambling encryption method based on 3-Dimensional Arnold Transformation is proposed.The experiments show that the method is simple and efficient,has the characteristics of high scrambling degree,maintaining the original data structure,complete reversibility and resistance to brute-force attack.
作者
张毅
杨振凯
李滨
王明明
ZHANG Yi;YANG Zhenkai;LI Bin;WANG Mingming(Information Engineering University,Zhengzhou 450001,China;Henan University of Technology,Zhengzhou 450001,China)
出处
《地理信息世界》
2021年第5期29-35,共7页
Geomatics World
基金
国家重点研发计划项目(2016YFB0502300)。
关键词
矢量地理数据
数据安全
三维Arnold变换
数据置乱
置乱度
vector geospatial data
data security
3-Dimensional Arnold transformation
data scrambling
scrambling degree
