• DocumentCode
    3374163
  • Title

    Weakness analysis of singular value based watermarking

  • Author

    Changzhen, Xiong ; Fenhong, Guo ; Zhengxi, Li

  • Author_Institution
    Dept. of Autom., North China Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    2596
  • Lastpage
    2601
  • Abstract
    Singular value (SV)-based image watermarking has recently been gaining attention. The advantage of this watermarking approach is its robustness to distortion attacks. In this paper, we mathematically prove that SV-based watermarking algorithms are robust against distortion attacks as long as the attacks are not severe. The same mathematical proof, however, also confirms that such watermarking schemes are unfortunately susceptible to false watermark detection. Thus a false watermark (not the embedded one) can be detected from a watermarked image that is not severely distorted or even from an image that is not watermarked. We then propose a method that allows an attacker to claim the ownership of any watermarked image whether or not it is severely distorted. SV-based watermarking algorithms cannot thus be used for protecting the ownership of an image.
  • Keywords
    singular value decomposition; watermarking; distortion attack robustness; false watermark detection; image watermarking; singular value based watermarking; singular value decomposition; weakness analysis; Watermarking; Singular value decomposition (SVD); Watermarking; false watermark detection; security analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246754
  • Filename
    5246754