with the rapid advance in digital network, information technology, digital libraries, and
particularly World Wide Web services, many kinds of information could be retrieved any time …

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 …

Image steganalysis is to discriminate innocent images (cover images) and those suspected
images (stego images) with hidden messages. The task is challenging since modifications to …

Steganography is an art of obscuring data inside another quotidian file of similar or varying
types. Hiding data has always been of significant importance to digital forensics. Previously …

All the existing image steganography methods use manually crafted features to hide binary
payloads into cover images. This leads to small payload capacity and image distortion. Here …

The main challenges of image steganography are imperceptibility of the cover image and no
recoverability of the secret data. To deal with these challenges, a modified digital image …

Many attempts have been made to hide information in images, where the main challenge is
how to increase the payload capacity without the container image being detected as …

Image steganalysis is the task of discovering the hidden message in a multimedia file in
which the steganalysis technique highly depends on the feature elements of the image …

The least-significant-bit (LSB) technique is one of the commonly used steganographic
algorithms in the spatial domain. In most existing schemes, they didn't carefully analyze the …

This research proposed the dilated hybrid edge detection on the three most significant bits
(MSB) pixels of cover images with the aim of expanding the edge area so as to increase the …