首页|面向流动追踪的多层鲁棒Excel文档水印

面向流动追踪的多层鲁棒Excel文档水印

扫码查看
Excel文档被广泛应用于金融财务、科学研究、数据分析、统计报告等领域,在教育培训、在线办公等诸多场景中扮演着重要角色,却也潜藏着违规使用、侵权行为和信息泄露等安全隐患.为保护Excel文档内容的安全,迫切需要研究更安全可靠的文档保护技术.文中基于Excel文档格式,提出了一种面向流动追踪的多层鲁棒Excel文档水印算法,该算法通过将多层水印信息嵌入Excel文档的单元格样式和边框的RGB颜色值中,从而能在实际应用场景中明确敏感文档传播链条,对文档泄露源头进行追踪溯源,定位泄密责任人,以减少信息泄露事件的发生.经实验对比发现,所提水印算法不可感知性好,对增加、删除、重新键入、格式刷、复制粘贴和另存为等多种常见文档操作和攻击具有很强的鲁棒性,同时支持多层水印嵌入.与其他基于文档格式的水印算法相比,所提算法具有更好的水印不可见性、更强的鲁棒性和更宽广的应用范围.
Robust and Multilayer Excel Document Watermarking for Source Tracing
Excel documents are widely used in finance,scientific research,data analysis and statistical reporting,and play an in-creasingly important role in education and training,online offices and many other scenarios,but they also pose security risks such as unauthorised use,infringement and information leakage.To protect the security of digital content of Excel documents,there is a vital need to develop more secure and reliable document watermarking algorithms.This paper proposes a source tracing multi-layer watermarking algorithm for Excel documents with good invisibility and robustness based on the Excel document format.By embedding multilayer watermark information into the cell style and RGB color values of the border of Excel documents,it can clarify the document distribution chain in practical application scenarios,trace the source of document leakage and locate the per-son responsible for the leakage.The proposed algorithm can be used to reduce the occurrence of information leakage.Experimen-tal comparisons show that the proposed method is imperceptible to watermarks,robust to a wide range of common attacks,and supports multilayer watermark embedding of up to five layers.Compared with other document format-based watermarking algo-rithms,the proposed algorithm has better watermark invisibility,stronger robustness and a wider range of applications.

ExcelDocument watermarkingRobustnessMultilayer embeddingSource tracing

韩松源、王宏霞、蒋子渝

展开 >

四川大学网络空间安全学院 成都 610065

Excel 文档水印 鲁棒性 多层嵌入 追踪溯源

国家自然科学基金

62272331

2024

计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSTPCD北大核心
影响因子:0.944
ISSN:1002-137X
年,卷(期):2024.51(5)
  • 51