A new way of covert communication by steganography via JPEG images within a Microsoft Word document

An Overview of Steganographic Techniques and Methods Applied on Jpeg Images Using Different Transformational Techniques

“…A model of how a steganographic system functions is shown in Figure 1. Information protection can this way exist in the form of a visible digital watermark and in the form of digital steganographic techniques which include three very important aspects in its functioning [3]: ◆ Capacity -the amount of information that can be hidden in a stego medium ◆ Security -the degree of inability of a detection device to uncover the secret ◆ Robustness -the amount of modifications that a stego medium can endure Visible Digital watermark system is mostly used for protecting digital media copyrights and its goal is to achieve a high level of robustness -i.e. to disable removing the certificate without reducing the quality of the object data, while other steganographic techniques have a wider application, are invisible to the naked eye, and can be applied through the following categories [4] ◆ Reshaping Techniques: The secret message isn't hidden directly in the medium, it is reshaped to convey the secret message.…”

“…For lossless coding of an image, JPEG standard uses simple predictive methods of compression 3 . The standard specifies seven methods of prediction, which are defined by the equations (3) and (4).…”

Learning high-dimensional multimedia data

“…[6]. The topics of the special issue are interesting, so in total, this special issue have received 24 submissions from at least 20 different research departments over the world.…”

“…The results demonstrated the superiority of the proposed method. This paper by Uljarevic et al [6] proposed a system of information transfer within Microsoft Word documents, by utilizing the JPEG images dataset to experiment then presented the steganographic tool StegApp 1.1.0. In particular, the novel tool utilized the domain transformation technique with parameters obtained by the discrete cosine transforms (DCT) that is based on the transformation of the JPEG image.…”

“…Specifically, this special issue targeted the most recent technical progresses on learning techniques for high-dimensional multimedia data, including classification [1], segmentation [2,4], feature selection [1,5,8], deep learning [5], image saliency detection [7], and many others [3,6], in many kinds of learning-based applications, including image processing sequences [1,2,7,8], text processing [1,4,6], system applications [6]. The topics of the special issue are interesting, so in total, this special issue have received 24 submissions from at least 20 different research departments over the world.…”