Moment invariants based zero watermarking algorithm for trajectory data

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Security and Applications Pub Date : 2024-09-03 DOI:10.1016/j.jisa.2024.103867
Na Ren , Yuchen Hu , Changqing Zhu , Shuitao Guo , Xianshu Zhu
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Abstract

Zero watermarking is a lossless copyright protection technology that satisfies the need for copyright protection without compromising the accuracy of trajectory data. However, existing zero watermarking algorithms for trajectory data are unable to resist random deletion point attack. Therefore, a trajectory data zero watermarking algorithm based on moment invariants was proposed to address the problem. Firstly, two compression algorithms are utilized to extract feature points from the trajectory data. Then, a coordinate system is constructed using the minimum area bounding rectangle (MABR) of the feature points. Next, based on the constructed coordinate system, the feature points are divided into subtrajectories, and the linear moment invariants generated by the subtrajectories are calculated. Finally, the zero watermark information is constructed based on the linear moment invariants, and the watermark copyright information is generated by exclusive-ORing (XOR) it with the copyright image. Experimental results demonstrate that the zero watermark information constructed by the proposed algorithm has good uniqueness and strong robustness against random deletion, compression, and other common attacks. Furthermore, the proposed algorithm has good algorithm efficiency and is applicable to vector data with plane coordinates. The study makes a positive contribution to copyright protection for trajectory data and provides useful references for research on lossless watermarking of vector geographic data.

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基于矩不变式的轨迹数据零水印算法
零水印是一种无损版权保护技术,既能满足版权保护的需要,又不影响轨迹数据的准确性。然而,现有的轨迹数据零水印算法无法抵御随机删除点攻击。因此,针对这一问题,提出了一种基于矩不变式的轨迹数据零水印算法。首先,利用两种压缩算法从轨迹数据中提取特征点。然后,利用特征点的最小区域边界矩形(MABR)构建坐标系。然后,根据构建的坐标系,将特征点划分为子轨迹,并计算子轨迹产生的线性矩不变式。最后,根据线性矩不变式构建零水印信息,并通过与版权图像的排他-OR(XOR)生成水印版权信息。实验结果表明,所提算法构建的零水印信息具有良好的唯一性,对随机删除、压缩和其他常见攻击具有很强的鲁棒性。此外,所提出的算法具有良好的算法效率,适用于平面坐标的矢量数据。该研究为轨迹数据的版权保护做出了积极贡献,也为矢量地理数据的无损水印研究提供了有益参考。
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来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
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