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Towards a Provably Resilient Scheme for Graph-Based Watermarking

机译:面向基于图的水印的可复原方案

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Techniques of watermarking/fingerprinting concern the embedding of identification data into a digital object, allowing for later claims of authorship/ownership and therefore discouraging piracy. Graph-based watermarking schemes comprise an encoding algorithm, which translates a given number (the identifier, usually a positive integer) onto some appropriately tailored graph (the watermark), and a decoding algorithm, which extracts the original identifier from a given watermark. Collberg, Kobourov, Carter and Thomborson (Error-correcting graphs for software watermarking, WG'03) introduced one such scheme, meant for software watermarking, in which an integer key was encoded onto a reducible permutation graph. A number of interesting ideas have further improved the original scheme, including the formulation of a particularly promising linear-time codec by Chroni and Nikolopoulos. We extend the work of these authors in various aspects. First, we characterize the class of graphs constituting the image of Chroni and Nikolopoulos's encoding function. Furthermore, we formulate a novel, linear-time decoding algorithm which detects and recovers from ill-intentioned removals of k ≤ 2 edges. Finally, our results also include the detection of k ≤ 5 edge modifications (insertions/deletions) in polynomial time and a proof that such bound is tight, so the resilience of the considered watermarking scheme is fully determined. Our proof that graphs of a well-characterized class can detect and recover from bounded-magnitude distortive attacks reinforces the interest in regarding those graphs as possible watermarking solutions to numerous applications.
机译:加水印/指纹技术涉及将标识数据嵌入到数字对象中,从而允许以后声明作者/所有权,因此不鼓励盗版。基于图的水印方案包括编码算法和解码算法,该编码算法将给定的数字(标识符,通常为正整数)转换为经过适当裁剪的图(水印),解码算法从给定的水印中提取原始标识符。 Collberg,Kobourov,Carter和Thomborson(用于软件水印的纠错图,WG'03)介绍了一种用于软件水印的方案,其中将整数密钥编码到可归约的置换图上。许多有趣的想法进一步改进了原始方案,包括Chroni和Nikolopoulos提出了一种特别有希望的线性时间编解码器。我们在各个方面扩展了这些作者的工作。首先,我们描述构成Chroni图像和Nikolopoulos编码功能的图的类。此外,我们制定了一种新颖的线性时间解码算法,该算法可检测出k≤2个边缘的不良去除并从中恢复。最后,我们的结果还包括在多项式时间内检测k≤5个边缘修饰(插入/删除),并证明这种边界是紧密的,因此可以充分确定所考虑的水印方案的弹性。我们的证明,即,一个特征明确的类的图形可以检测出有界失真的攻击并从中恢复,这增强了人们对将这些图形作为众多应用的可能的水印解决方案的兴趣。

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