Data hiding technologies aim to hide the existence of secret information within digital covers
such as images by causing unnoticeable degradation to their quality. Reducing the image …

Pixel value differencing (PVD) and least significant bit substitution (LSB) are two widely used
schemes in image steganography. These two methods do not consider different content in a …

Despite the strong presence of color images for communication, scholars have mainly
devoted their attention to research on steganography for grayscale images. In contrast to …

Compared to element-wise embedding, vector-wise embedding based on CPV (color pixel
vector) shows its superiority in color image steganography. However, when working with an …

Up to now, most existing steganalytic methods were designed for grayscale images, and are
not suitable for the color images that are widely used in social networks. In this paper, we …

Steganography is an area where researchers focus on how to develop novel hiding
techniques that are aided by the mathematical or computational model. In order to conceal …

Due to the increment of using Internet to transfer the critical and secret data, many studies
interested in secured data and investigated many ways to secure the transferred information …

Image steganography refers to the process of hiding information inside images.
Steganalysis is the process of detecting a steganographic image. We introduce a …

Flower pollination algorithm (FPA) is a swarm-based optimization technique that has
attracted the attention of many researchers in several optimization fields due to its …

Current deep learning-based steganalyzers often depend on specific image dimensions,
leading to inevitable adjustments in network structure when dealing with varied image sizes …