Digital media steganalysis

Abstract Steganography is the process of hiding messages inside an object known as a carrier. The idea is establishing a covert communication channel where messages go unnoticed by observers having access to that channel. Steganalysis is dedicated to the detection of such hidden messages; these messages can be embedded in several different types of digital media, such as images, video, audio, plain text files, and covert channels. Traditional steganalysis schemes are divided into two stages; the first one involves manual extraction of high-end features, and the second one is classification using machine learning (ML) methods. Nowadays, deep learning (DL) can unify both traditional stages into an end-to-end scheme with promising results. In this chapter, we show the most relevant steganalysis techniques using statistical, ML, and DL methods on digital media.