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Capacity of data-hiding system subject to desynchronization

机译:数据隐藏系统的容量受到去异步

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Data hiding has been mainly studied in the last years. Many applications are targeted such as copy-rights management, meta-data embedding for rich-media applications, ... In all these applications, it is crucial to estimate what is the capacity of data hiding. Many works have then been made to study watermarking performance considering data-hiding as a kind of channel communication. However in all these studies, an assumption is made about the perfect knowledge of all attacks parameters (may be known in advance or later estimated with attacks modeling). More especially a malicious attacker may biased its attack so that parameters estimation may not be perfect (desynchronization in parameters). Furthermore, random geometrical attacks for images such as proposed by Stirmark benchmark (more generally desynchronization attacks) show that perfect synchronization may not also be achievable. These last kind of attacks are actually the most effective and lack of theoretical modeling for capacity estimation. We then propose a new model for taking into account desynchronization phenomenon in data hiding (coupled with degrading attacks - i.e. optimal SAWGN attacks). Further, thanks to the use of game theory, we state bounds on the capacity that may be obtained by data hiding systems when subject to desynchronization.
机译:数据隐藏在过去几年主要研究过。许多应用程序都是针对的,例如复制 - 权限管理,富裕媒体应用程序的元数据嵌入,...在所有这些应用程序中,估计数据隐藏的容量是至关重要的。然后,考虑数据隐藏为一种信道通信,已经开始研究水印性能。然而,在所有这些研究中,对所有攻击参数的完美知识进行了假设(可以提前知道或以后通过攻击建模估计)。更尤其是恶意攻击者可能会偏见其攻击,以便参数估计可能不完美(参数中的去同步)。此外,诸如STIRMARN基准(更普遍的DER同步攻击)提出的图像的随机几何攻击示出了完美的同步也可能是可实现的。这些攻击实际上是最有效且缺乏能力估计的理论建模。然后,我们提出了一种在数据隐藏中考虑了去同步现象的新模型(与降级攻击相结合 - 即最佳锯齿攻击)。此外,由于使用游戏理论,我们在可能在检索时可以通过数据隐藏系统获得的容量的界限。

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