计算机工程 ›› 2020, Vol. 46 ›› Issue (11): 273-278.doi: 10.19678/j.issn.1000-3428.0056668

• 图形图像处理 • 上一篇    下一篇

基于奇异值分解的水印方法虚警问题分析

王文冰1,2, 刘粉林1, 巩道福1, 刘胜利1   

  1. 1. 解放军信息工程大学 网络空间安全学院, 郑州 450001;
    2. 郑州轻工业大学 软件学院, 郑州 450000
  • 收稿日期:2019-11-21 修回日期:2019-12-24 发布日期:2020-01-07
  • 作者简介:王文冰(1978-),女,博士研究生,主研方向为数字水印、图像处理;刘粉林(通信作者),教授、博士生导师;巩道福,讲师、博士;刘胜利,教授、博士。
  • 基金项目:
    国家重点研发计划(2016YFB0801303)。

False Alarm Problem Analysis of Watermarking Method Based on Singular Value Decomposition

WANG Wenbing1,2, LIU Fenlin1, GONG Daofu1, LIU Shengli1   

  1. 1. School of Cyberspace Security, PLA Information Engineering University, Zhengzhou 450001, China;
    2. College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China
  • Received:2019-11-21 Revised:2019-12-24 Published:2020-01-07

摘要: 奇异值鲁棒性分解的嵌入灰度图水印方法具有嵌入量大、不可视性强、鲁棒性高等优点,但虚警问题影响了该类方法的实用性。针对虚警问题,MAKBOL等人提出一种可靠的鲁棒水印方案,但其并未完全解决虚警问题。为此,通过对MAKBOL方案的嵌入和提取过程进行分析,并利用其边信息与水印强相关的特性,提出一种针对该方法的基于伪边信息构造的攻击手段,通过伪造边信息从MAKBOL方案的提取过程中提取出虚假水印。实验结果表明,该攻击手段不仅适用于未嵌入水印的载体,且对已嵌入水印的载体同样有效。

关键词: 虚警问题, 鲁棒水印, 奇异值分解, 奇异值鲁棒性, 灰度图水印

Abstract: The method of using singular value robustness to embed grayscale watermarks can embed a large number of watermarks,and has high invisibility and robustness,but its practicability is affected by the false alarm problem.To this end,a new reliable watermarking scheme is proposed by MAKBOL et al,but it does not completely solve the false alarm problem.Therefore,this paper proposes an attack approach by analyzing the embedding and extracting process of MAKBOL’s scheme and using the strong correlation between its side information and watermark.The approach forges side information to extract the false watermark from the extraction process of MAKBOL’s scheme.Experimental results show that this attack approach not only works for carriers without embedded watermarks,but also works for carriers with embedded watermarks.

Key words: false alarm problem, robust watermarking, Singular Value Decomposition(SVD), singular value robustness, grayscale image watermarking

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