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Countermeasures for Collusion Attacks Exploiting Host Signal Redundancy

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Digital Watermarking (IWDW 2005)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 3710))

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Abstract

Multimedia digital data is highly redundant: successive video frames are very similar in a movie clip, most songs contain some repetitive patterns, etc. This property can consequently be exploited to successively replace each part of the signal with a similar one taken from another location in the same signal or with a combination of similar parts. Such an approach is all the more pertinent when video content is considered since such signals exhibit both temporal and spatial self-similarities. To counter such attacking strategies, it is necessary to ensure that embedded watermarks are coherent with the redundancy of the host content. To this end, both motion-compensated watermarking and self-similarities inheritance will be surveyed.

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Author information

Authors and Affiliations

  1. Multimedia Communications Department, Eurécom Institute, 2229 route des Crêtes, B.P. 193, 06904 Cédex, Sophia-Antipolis, France

    Gwenaël Doërr & Jean-Luc Dugelay

Authors
  1. Gwenaël Doërr
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  2. Jean-Luc Dugelay
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Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Siena, Italy

    Mauro Barni

  2. University College London, Torrington Place, UK

    Ingemar Cox

  3. Hewlett-Packard Laboratories, Palo Alto, CA, USA

    Ton Kalker

  4. Multimedia Security Lab, Korea University, Science Campus, 136-701, Seoul, Korea

    Hyoung-Joong Kim

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© 2005 Springer-Verlag Berlin Heidelberg

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Doërr, G., Dugelay, JL. (2005). Countermeasures for Collusion Attacks Exploiting Host Signal Redundancy. In: Barni, M., Cox, I., Kalker, T., Kim, HJ. (eds) Digital Watermarking. IWDW 2005. Lecture Notes in Computer Science, vol 3710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551492_17

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  • DOI: https://doi.org/10.1007/11551492_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28768-1

  • Online ISBN: 978-3-540-32052-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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