Steganography is the art of concealing information in a cover media in such a way that the
presence of the information is unknown. Digital image steganography accomplishes the …

Digital steganography has a long history, starting to be developed in the 90s until now. The
main aspects of early steganography are security, imperceptibility, and payload. Security is …

Steganography detectors built as deep convolutional neural networks have firmly
established themselves as superior to the previous detection paradigm-classifiers based on …

This paper presents a literature review of image steganography techniques in the spatial
domain for last 5 years. The research community has already done lots of noteworthy …

Recently, extensive research has revealed the enormous potential of deep learning in the
application of image steganography. However, some defects still exist in previous studies on …

With the coming era of cloud technology, cloud storage is an emerging technology to store
massive digital images, which provides steganography a new fashion to embed secret …

Image steganalysis is a technique for detecting data hidden in images. Recent research has
shown the powerful capabilities of using convolutional neural networks (CNN) for image …

For steganalysis, many studies showed that convolutional neural network (CNN) has better
performances than the two-part structure of traditional machine learning methods. Existing …

Neural networks have been shown effective in deep steganography for hiding a full image in
another. However, the reason for its success remains not fully clear. Under the existing cover …

Recent studies have indicated that the architectures of convolutional neural networks
(CNNs) tailored for computer vision may not be best suited to image steganalysis. In this …