Comprehensive Review of Audio Steganalysis Methods

TL;DR

This paper provides a comprehensive review of audio steganalysis methods developed over fifteen years, including implementation and comparison of recent techniques, and suggests future research directions in the field.

Contribution

It offers an extensive survey of audio steganalysis methods, implements recent approaches, and analyzes their performance to guide future research.

Findings

Recent methods show varied effectiveness in detecting hidden messages.

Implementation results highlight strengths and weaknesses of different techniques.

Future directions include improving detection accuracy and robustness.

Abstract

Recently, merging signal processing techniques with information security services has found a lot of attention. Steganography and steganalysis are among those trends. Like their counterparts in cryptology, steganography and steganalysis are in a constant battle. Steganography methods try to hide the presence of covert messages in innocuous-looking data, whereas steganalysis methods try to reveal existence of such messages and to break steganography methods. The stream nature of audio signals, their popularity, and their wide spread usage make them very suitable media for steganography. This has led to a very rich literature on both steganography and steganalysis of audio signals. This paper intends to conduct a comprehensive review of audio steganalysis methods aggregated over near fifteen years. Furthermore, we implement some of the most recent audio steganalysis methods and conduct a comparative analysis on their performances. Finally, the paper provides some possible directions for future researches on audio steganalysis.