Traditional steganalysis methods usually rely on handcrafted features. However, with the rapid development of advanced steganography, manual design of complex features has become increasingly difficult. In this paper, we propose a new paradigm for …
In this paper, a novel strategy of Secure Steganography based on Generative Adversarial Networks is proposed to generate suitable and secure covers for steganography. The proposed architecture has one generative network, and two discriminative …
Recently, ensemble classifier is predominantly used for steganalysis of digital media, due to its efficiency when working with high-dimensional feature sets and large databases. While fusing the decisions of many weak base classifiers, the majority …
The cover source mismatch problem in steganalysis is a serious problem which keeps current steganalysis from practical use. It is mainly because of the high intra-class variation of cover and stego samples in the feature space, since current …
Correlation of pixels is the most important information used for image steganalysis. Current methods often consider some special types of relationships among neighboring pixels. In this paper, we propose a general descriptor to consider the …
Blind quantitative steganalysis is about revealing more details about hidden information without any prior knowledge of steganograghy. Machine learning can be used to estimate some properties of hidden message for blind quantitative steganalysis. We …
In past several years so many feature sets for steganalysis were proposed to detect stego images. These features based on different ideas and were considered to be effective for most steganography schemes. However a systematically comparison of these …