• DocumentCode
    542401
  • Title

    Embedding and detecting spread-spectrum watermarks under estimation attacks

  • Author

    Kirovski, Darko ; Malvar, Henrique

  • Author_Institution
    Microsoft Research, One Microsoft Way, Redmond, WA 98052, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    Spread-spectrum (SS) watermarking has been one of the oldest methodologies for hiding data in multimedia signals. Recently, it has been demonstrated that simple block repetition codes provide strong robustness of such watermarks to noise addition and limited arbitrary geometric transformations. In order to further investigate the security of such watermarks, we explore in this paper their robustness with respect to watermark estimation attacks. In such attacks, the adversary has knowledge of the watermark algorithm, except the secret keys. We present a modification of the traditional SS watermark detector that forces the adversary to increase the amount of noise to be proportional to the signal amplitude, in order to remove an SS watermark.
  • Keywords
    Artificial neural networks; Robustness; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5744039
  • Filename
    5744039