北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (4): 48-53.doi: 10.13190/j.jbupt.2017.04.008

• 论文 • 上一篇    下一篇

抗数据合并攻击的矢量地理数据数字水印

王莹莹1,2,3, 杨成松4, 朱长青1,2,3, 任娜1,2,3, 方虎生4   

  1. 1. 南京师范大学 虚拟地理环境教育部重点实验室, 南京 210023;
    2. 江苏省地理环境演化国家重点实验室培育建设点, 南京 210023;
    3. 江苏省地理信息资源开发与利用协同创新中心, 南京 210023;
    4. 解放军理工大学 野战工程学院, 南京 210007
  • 收稿日期:2016-06-23 出版日期:2017-08-28 发布日期:2017-07-10
  • 作者简介:王莹莹(1985-),女,博士生;杨成松(1982-),男,讲师,E-mail:36946046@qq.com.
  • 基金资助:
    国家自然科学基金项目(41401518);江苏省自然科学基金项目(BK20140066);江苏高校优势学科建设工程资助项目

Digital Watermarking Against Data Merging Attack for Vector Geographic Data

WANG Ying-ying1,2,3, YANG Cheng-song4, ZHU Chang-qing1,2,3, REN Na1,2,3, FANG Hu-sheng4   

  1. 1. Key Laboratory of Virtual Geographic Environment(Nanjing Normal University), Ministry of Education, Nanjing 210023, China;
    2. Institute of Field Engineering, PLA University of Science and Technology, Nanjing 210007, China;
    3. State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province), Nanjing 210023, China;
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2016-06-23 Online:2017-08-28 Published:2017-07-10

摘要: 提出了一种抗地理要素合并攻击的矢量地理数据水印算法.在分析了基于地理要素数据合并攻击对水印检测影响的基础上,按照单个地理要素检测—合并—检测的思想,设计并实现了一种抗数据合并攻击的矢量地理数据数字水印算法.实验分析结果表明,该算法能有效抵抗常见的数据合并攻击,且可检测出合并后数据中的多个不同水印信息.

关键词: 矢量地理数据, 数字水印, 数据合并攻击, 鲁棒性

Abstract: A watermarking algorithm against geographic-feature-based data merging attack was presented. And a watermarking algorithm against data merging attack was presented based on analyzing the influence of geographic-feature-based data merging attack according to the detection-merging-detection thinking for single geographic feature. Experiments show that the proposed algorithm has good performance on the robustness against data merging attack. Additionally, the different watermarks in the merged vector geographic data can be detected by using the algorithm.

Key words: vector geographic data, digital watermarking, data merging attack, robustness

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