Abstract
Image Steganography is an open-source Cybersecurity & Ethical Hacking project. :closed_lock_with_key:ㅤA C++ program for Image Steganography. A command-line interface based program for Image Steganography. It uses Least Significant Bit(LSB) algorithm for Image Steganography. It is built using C++. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Cybersecurity & Ethical Hacking mini project or final-year project.
1. Introduction
A command-line interface based program for Image Steganography. It uses Least Significant Bit(LSB) algorithm for Image Steganography.
A new image will be created in your Images directory with the secret message hidden in it.
The hidden message will be displayed on your console.
2. Objective
:closed_lock_with_key:ㅤA C++ program for Image Steganography
This project demonstrates how C++ 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.
- Arduino IDE / PlatformIO or a C++ compiler (g++)
- Target board (e.g. Arduino, ESP32) where applicable
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/hitanshu-dhawan/ImageSteganography.git
cd ImageSteganography- Install Open-CV :
- Compile the program :
$ cd ImageSteganography
$ chmod +x make_encode
$ chmod +x make_decode
$ ./make_encode
$ ./make_decodeFull 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.
- Which threat or attack does this project defend against?
- What detection or protection technique is used and what are its limits?
- How are false positives and false negatives handled?
- Which cryptographic algorithms or security standards are involved?
- What legal and ethical rules apply when testing a tool like this?
9. Source Code & License
This project is developed by hitanshu-dhawan 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.
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