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 is the science that involves communicating secret data in an appropriate
multimedia carrier, eg, image, audio, and video files. It comes under the assumption that if …

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

The security of image steganography is an important basis for evaluating steganography
algorithms. Steganography has recently made great progress in the long-term confrontation …

This paper introduces a novel feature set for steganalysis of JPEG images. The features are
engineered as first-order statistics of quantized noise residuals obtained from the …

Today, the most accurate steganalysis methods for digital media are built as supervised
classifiers on feature vectors extracted from the media. The tool of choice for the machine …

This paper presents a novel method for detection of steganographic methods that embed in
the spatial domain by adding a low-amplitude independent stego signal, an example of …

Digital audio, video, images, and documents are flying through cyberspace to their
respective owners. Unfortunately, along the way, individuals may choose to intervene and …

Adaptive JPEG steganographic schemes are difficult to preserve the image texture features
in all scales and orientations when the embedding changes are constrained to the …

The term, steganography, comes from Greek and means “covered writing”(Johnson and
Jajodia, 1998a; Petitcolas et al., 1999). The intent of steganography is to hide a message in …