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State-of-the-art digital watermarking attacks

机译:最先进的数字水印攻击

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摘要

Digital watermarking is a huge research area which is progressively growing. It covers theoretical studies, novel techniques, attacks and performance analysis. An embedded watermark may unintentionally or inadvertently be impaired by such processing. Other types of processing may be applied with the explicit goal of hindering watermark reception. In watermarking terminology, an “attack” is any processing that may impair detection of the watermark or communication of the information conveyed by the watermark. Broadly it can be classified as Intentional Attacks and Non-Intentional Attacks. The processed watermarked data is then called “attacked data”. An important aspect of any Watermarking scheme is its robustness against attacks. The notion of robustness is intuitively clear: A watermark is robust if it cannot be impaired without also rendering the attacked data useless. Watermark impairment can be measured by criteria such as miss probability, probability of bit error, or channel capacity. For multimedia, the usefulness of the attacked data can be gauged by considering its perceptual quality or distortion. Hence, robustness can be evaluated by simultaneously considering watermark impairment and the distortion of the attacked data. An attack succeeds in defeating a watermarking scheme if it impairs the watermark beyond acceptable limits while maintaining the perceptual quality of the attacked data. In this paper, JPEG compression (quality 50 and 75), noise (Gaussian noise), distortion (blurring) and contrast enhancement (histogram equalization and intensity adjustment) are testified. Results shown that embedding gain and DWT decomposition subbands were among the contribute against attacks performed
机译:数字水印是一个巨大的研究领域,并且正在逐步发展。它涵盖了理论研究,新颖技术,攻击和性能分析。这样的处理可能会无意中破坏嵌入的水印。可以应用其他类型的处理,其明确目标是阻止水印接收。在水印术语中,“攻击”是指可能削弱水印检测或水印传达的信息传递能力的任何处理。大致可将其分为故意攻击和非故意攻击。然后,将处理后的带水印的数据称为“攻击数据”。任何水印方案的一个重要方面是其对攻击的鲁棒性。健壮性的概念很直观:水印是健壮的,如果在不使受攻击的数据也变得无用的情况下不会被削弱的话。水印损伤可以通过诸如丢失概率,误码概率或信道容量之类的标准来测量。对于多媒体,可以通过考虑其感知质量或失真来评估受攻击数据的有用性。因此,可以通过同时考虑水印损伤和攻击数据的失真来评估鲁棒性。如果攻击破坏了水印超出可接受的限制,同时又保持了被攻击数据的感知质量,那么攻击将成功击败水印方案。在本文中,对JPEG压缩(质量50和75),噪声(高斯噪声),​​失真(模糊)和对比度增强(直方图均衡和强度调整)进行了验证。结果表明,嵌入增益和DWT分解子带是抵御攻击的原因之一

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