World is now considered as global village because of interconnected networks. Smart
phones and large computing devices exchange millions of information each day. Information …

The application of adversarial embedding in single image steganography exhibits its
advantage in resisting convolutional neural network (CNN)-based steganalysis. As an …

Computational intelligence refers to the ability of a computing device or machine to learn
specific tasks based on its data and experience. Computational intelligence is invoked as an …

Information security is the set of processes that protect information away from unauthorized
access, disclosure, replication, modification, or destruction. Recently, more and more real …

Image steganalysis is the process of detecting the presence of hidden information in an
image. Existing image steganalysis methods cannot fully extract hidden image information …

These days, there are many sophisticated and swiftly moving cyberthreats. Artificial Neural
Networks (ANN) are used to introduce machine learning models that boost security and add …

Steganography is typically used by law enforcement agencies to prevent unauthorized
persons from becoming aware of the existence of a message communicated by military or …

Steganographer detection aims to identify guilty users who conceal secret information in a
number of images for the purpose of covert communication in social networks. Existing …

The rapid development of the internet and digital media has provided convenience while
also posing a potential risk of steganography abuse. Identifying steganographer is essential …

Steganographer detection is to detect culprit users, who attempt to hide confidential
information with steganography, among many innocent users. By incorporating the …