矢量地理数据密级标识方法研究

发布时间：2018-05-08 05:24

本文选题：密级标识 + 距离比值调制　；参考：《地球信息科学学报》2017年03期

【摘要】：密级标识是用于标识信息产品安全等级的隐蔽信息,是信息分级管理、控制与应用的基础和前提。作为涉密地理信息产品主要组织格式的矢量地理数据,其密级标识方法的研究具有重要意义。结合矢量地理数据在遭受几何攻击时,其要素空间关系不变性特征,以及密级标识方法的不可感知性、高鲁棒性要求,本文提出一种基于距离比值调制的矢量地理数据密级标识方法,以实现矢量地理数据的分级管理与保护。其主要研究思路为:(1)基于距离比值调制的方法,能够较好地应对几何攻击;(2)在每个线面要素内,通过重复嵌入密级标识,有效提高算法对于编辑操作的鲁棒性;(3)运用道格拉斯-普克算法提取特征点,在此基础上进行密级标识的嵌入,能够较好地对抗压缩攻击。实验结果表明:该方法具有良好的不可感知性;同时,对嵌入密级标识后的矢量地理数据进行几何变换、数据编辑、数据压缩等攻击后,其密级标识的提取率能够达到80%以上,表明方法具有较好的鲁棒性。
[Abstract]:Classified marking is the hidden information used to identify the security level of information products. It is the basis and premise of information hierarchical management, control and application. As the main organization format of the secret geographic information products, the research of the classification method of the vector geographic data is of great significance. Combined with the invariance of the spatial relationship of vector geographic data under geometric attack, and the imperceptibility and high robustness of the classified identification method, In this paper, a method of vector geographic data classification based on distance ratio modulation is proposed to realize the hierarchical management and protection of vector geographic data. The main research idea is: 1) based on the range ratio modulation method, it can deal with geometric attack effectively. Effectively improve the robustness of the algorithm for editing operations / 3) using the Dawlars-Puck algorithm to extract feature points, and then embed the secret level marks, which can better resist compression attacks. The experimental results show that the proposed method is imperceptible, and the extraction rate of the vector geographic data embedded in the classified level can reach more than 80% after geometric transformation, data editing, data compression and other attacks. It is shown that the method is robust.
【作者单位】：南京师范大学地理科学学院;南京师范大学虚拟地理环境教育部重点实验室;江苏省地理信息资源开发与利用协同创新中心;
【基金】：国家自然科学基金项目(41371374、41471175) 国家“863”重大项目子课题(2008AA121604) 江苏高校优势学科建设工程资助项目(PAPD)
【分类号】：P208;TP309

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