Audio Steganography Algorithms

Abstract

1. Introduction

Audio steganography is probably one of the most challenging areas. So, it is hard to find related sources for researchers. The main goal of this project was to provide basic audio steganography algorithms for everyone.

Our future scope is to publish a modular library containing existing methods, signal processing attacks and comparison metrics. We plan to add detailed and demystified documentation for each method containing mathematical background.

Repository will be updated in time, so please keep in touch.

2. Objective

A Library of Audio Steganography & Watermarking Algorithms

This project demonstrates how MATLAB can be applied to a real-world Cybersecurity & Ethical Hacking problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ktekeli/audio-steganography-algorithms.git
cd audio-steganography-algorithms

1. All algorithms were built as functions so they can be called from outside. Parameters are explained briefly in the description of each function.
2. Example scripts "data_embedding.m" and "data_extracting.m" were added in each method for a quick trial.
3. Several existing encoders and decoders have been combined in "audioload.m" and "audiosave.m" in order to simplify type conversions (i.e. WAV, FLAC, MP3, AAC and OGG).
4. A mixer signal generator "mixer.m" has been implemented in order to smooth discontinuities between adjacent segments (i.e. for Echo Hiding and Spread Spectrum methods).
5. Critical information such as message length, frame size etc can be embedded within the data for blind steganography. See LSB Coding for an example.
6. Hidden data can be encrypted for the improved security. See LSB Coding for a basic encryption example using XOR.

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add logging and alert notifications (email / Telegram)
• Write a threat model document for the tool
• Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which threat or attack does this project defend against?
2. What detection or protection technique is used and what are its limits?
3. How are false positives and false negatives handled?
4. Which cryptographic algorithms or security standards are involved?
5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by ktekeli and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.