Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …

Image steganography involves the process of concealing sensitive information in the cover
image to achieve secret communication. The counterpart of steganography is image …

Hiding secret data in digital multimedia has been essential to protect the data. Nevertheless,
attackers with a steganalysis technique may break them. Existing steganalysis methods …

Advances in Deep Learning (DL) have provided alternative approaches to various complex
problems, including the domain of spatial image steganalysis using Convolutional Neural …

The principal investigations in image steganalysis in the spatial domain have concentrated
on convolutional neural network (CNN) designs. However, existing CNNs increase the local …

During recent years, emerging multimedia processing techniques with information security
services have received a lot of attention. Among those trends are steganography and …

Image steganalysis aims to detect whether secret information is hidden in images and is a
means to solve the communication security. Recently, a series of convolutional neural …

Abstract In recent years, Deep Learning techniques applied to steganalysis have surpassed
the traditional two-stage approach by unifying feature extraction and classification in a single …

Steganography is the art of secret communication and steganalysis is the art of detecting the
hidden messages embedded in digital media covers. One of the covers that is gaining …

In recent years, the traditional approach to spatial image steganalysis has shifted to deep
learning (DL) techniques, which have improved the detection accuracy while combining …