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Computer Optics, 2015, Volume 39, Issue 5, Pages 808–817
DOI: https://doi.org/10.18287/0134-2452-2015-39-5-808-817
(Mi co48)
 

This article is cited in 1 scientific paper (total in 1 paper)

NUMERICAL METHODS AND DATA ANALYSIS

An algorithm for generating digital watermarks robust against brute-force attacks

V. A. Mitekinab

a Samara State Aerospace University, Samara, Russia
b Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia
Full-text PDF (291 kB) Citations (1)
References:
Abstract: This paper presents a new method for high-capacity robust watermarking of hyperspectral images. A new algorithm for two-dimensional “noise-like” watermarking patterns generation is proposed as part of robust watermark embedding and detection procedures. The experimental research provided in this work shows that the average complexity of the brute-force key retrieval attack can be increased to $10^{14}$ watermark extraction attempts (compared to $10^4$$10^5$ for known robust watermarking schemes). Experimental results also show that the watermark preserves its robustness against lossy compression of host video, at the same time preserving a higher video quality (PSNR up to 51dB) compared to known wavelet-based and DCT-based watermarking algorithms.
Keywords: Information hiding, image watermarking, brute-force attack, spread spectrum watermarking, cyclically permutable code.
Funding agency Grant number
Russian Science Foundation 14-31-00014
Work done at the expense of the Russian Science Foundation (RNF), grant №14-31-00014.
Received: 11.11.2015
Revised: 08.12.2015
Document Type: Article
Language: Russian
Citation: V. A. Mitekin, “An algorithm for generating digital watermarks robust against brute-force attacks”, Computer Optics, 39:5 (2015), 808–817
Citation in format AMSBIB
\Bibitem{Mit15}
\by V.~A.~Mitekin
\paper An algorithm for generating digital watermarks robust against brute-force attacks
\jour Computer Optics
\yr 2015
\vol 39
\issue 5
\pages 808--817
\mathnet{http://mi.mathnet.ru/co48}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-5-808-817}
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  • https://www.mathnet.ru/eng/co48
  • https://www.mathnet.ru/eng/co/v39/i5/p808
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Abstract page:295
    Full-text PDF :100
    References:46
     
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