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Improving Steganalysis by Fusion Techniques: A Case Study with Image Steganography

机译:通过融合技术改善隐写分析:以图像隐写术为例

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摘要

In the past few years, we have witnessed a number of powerful Steganalysis technique proposed in the literature. These technique could be categorized as either specific or universal. Each category of techniques has a set of advantages and disadvantages. A Steganalysis technique specific to a steganographic embedding technique would perform well when tested only on that method and might fail on all others. On the other hand, universal Steganalysis methods perform less accurately overall but provide acceptable performance in many cases. In practice, since the steganalyst will not be able to know what steganographic technique is used, it has to deploy a number of techniques on suspected stego objects. In such a setting the most important question that needs to be answered is: What should the steganalyst do when the decisions produced by different Steganalysis techniques are in contradiction? In this work, we propose and investigate information fusion techniques, that combine a number of Steganalysis techniques. We start by reviewing possible fusion techniques which are applicable to Steganalysis. Then we illustrate, through a number of case studies, how one is able to obtain performance improvements as well as scalability by employing suitable fusion techniques.
机译:在过去的几年中,我们目睹了文献中提出的许多强大的隐写分析技术。这些技术可以分为特定的或通用的。每种技术都有其优点和缺点。仅针对隐写技术的隐写分析技术仅在该方法上进行测试时会表现良好,而在其他所有方法上均可能失败。另一方面,通用隐写分析方法的整体效果较差,但在许多情况下提供可接受的性能。在实践中,由于隐身分析者将无法知道所使用的隐写技术,因此它必须在可疑的隐身物体上部署多种技术。在这种情况下,需要回答的最重要的问题是:当隐秘分析技术所产生的决策相互矛盾时,隐秘分析师应该怎么做?在这项工作中,我们提出并研究了结合多种隐写分析技术的信息融合技术。我们首先回顾适用于隐写分析的可能融合技术。然后,我们通过大量案例研究来说明如何通过采用适当的融合技术来获得性能改进和可伸缩性。

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