Abstract

During recent years, emerging multimedia processing techniques with information security services have received a lot of attention. Among those trends are steganography and steganalysis. Steganography techniques aim to hide the existence of secret messages in an innocent-looking medium, where the medium before and after embedding looks symmetric. Steganalysis techniques aim to breach steganography techniques and detect the presence of invisible messages. In the modern world, digital multimedia such as audio, images, and video became popular and widespread, which makes them perfect candidates for steganography. Monitoring this huge multimedia while the user communicates with the outside world is very important for detecting whether there is a hidden message in any suspicious communication. However, steganalysis has a significant role in many fields, such as to extract the stego-message, to detect suspicious hidden messages and to evaluate the robustness of existing steganography techniques. This survey provides the general principles of hiding secret messages using digital multimedia as well as reviewing the background of steganalysis. In this survey, the steganalysis is classified based on many points of view for better understanding. In addition, it provides a deep review and summarizes recent steganalysis approaches and techniques for audio, images, and video. Finally, the existing shortcomings and future recommendations in this field are discussed to present a useful resource for future research.

Highlights

  • Digital communication has revolutionized our everyday lives

  • The spatial and transform domains are the most popular used in the state-of-the-art, where they contain various techniques that deal with different digital media steganography, while the vector and entropy coding contain the techniques that deal with video steganography

  • Tp: stego-media classified as stego-media tn: cover-media classified as cover-media fp: stego-media classified as cover-media fn: cover-media classified as stego-media

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Summary

Introduction

Digital communication has revolutionized our everyday lives. Robust and secure communication is in demand to preserve information security. The targeted method depends on the steganographic algorithm, the main rule of this method is to analyze the statistical characteristics or “features” of a medium before and after embedding them using a specific steganography technique. It starts with extracting some features from the input medium, analyzes and classifies these features to detect the steganography. Provide a background for steganography and steganalysis in general; Classify the steganalysis techniques based on different aspects; Deep review for the recent state-of-the-art in steganalysis; Provide a comprehensive overview for new interested researchers in steganalysis. - Provide an overview of the steganalysis techniques considering: the embedding algorithm, estimation of the secret message payload and stego key determination. - Introduce the paradigm shift from ML approaches to employing more promising DL architectures

Background
Steganography
Pure Steganography
Public Key Steganography
Steganography Techniques
Spatial Domain
Transform Domain
Vector Domain
Entropy Coding Domain
Adaptive Domain
Distortion Domain
Steganalysis: A Common Scheme
Feature Extraction
Statistical Steganalysis
Deep Steganalysis
Classification
Statistical Strategy-Based Techniques
Machine Learning-Based Techniques
Deep Learning-Based Techniques
Literature Review
Limitation
Audio Steganalysis
Image Steganalysis
Video Steganalysis
Databases
Evaluation metrics
Digital Multimedia Steganalysis Tools
Perspectives and Open Issues
Conclusions
Full Text
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