https://github.com/tamojitsaha/chaoskit

The Chaos Kit comprises of all the necessary python scripts for embedding information inside an image in a way that it goes unnoticed even with the Virtual Steganography Tool (VSL)
https://github.com/tamojitsaha/chaoskit

chaos-theory data-hiding morphology opencv-python opencv2 python steganography

Last synced: 23 days ago
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The Chaos Kit comprises of all the necessary python scripts for embedding information inside an image in a way that it goes unnoticed even with the Virtual Steganography Tool (VSL)

• Host: GitHub
• URL: https://github.com/tamojitsaha/chaoskit
• Owner: TamojitSaha
• Created: 2018-01-16T11:43:58.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-02-02T19:38:49.000Z (about 6 years ago)
• Last Synced: 2025-02-14T01:17:31.410Z (3 months ago)
• Topics: chaos-theory, data-hiding, morphology, opencv-python, opencv2, python, steganography
• Language: Python
• Homepage: https://doi.org/10.1109/ICRCICN.2017.8234536
• Size: 555 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
 ChaosKit 
 


## Table of Contents

- [About](#about)

- [Concept Flow](#concept-flow)

- [Usage](#usage)

- [Authors](#authors)

- [License](#license)

- [Feedback](#feedback)

## About

[![Build Platforms](https://img.shields.io/badge/build_platform-Python2.7-3776AB.svg)](https://www.python.org/download/releases/2.7/)

[![Dependency](https://img.shields.io/badge/dependency-OpenCV-red.svg)](https://pypi.python.org/pypi/opencv-python)




The Chaos Kit comprises of all the necessary python scripts for embedding information inside an image in a way that it goes unnoticed even with the Virtual Steganography Tool ([VSL](http://vsl.sourceforge.net/)).


[Here](https://doi.org/10.1109/ICRCICN.2017.8234536) is the link to the IEEE publication based on the this work.

## Concept Flow

 &nbsp 


## Usage

  - Download all the file as zip from [here](../../releases/latest)

  - After install Python and running ```pip install opencv-python``` open ["steganography.py"](./steganography.py). Dont run it now!

  - Make a text file named "msg.txt" in the same directory and put your own message.  For [this particular image](./image.tiff?raw=true), the message file should be less than 8kb. 

  - The default password is ```-1, 2.01, 3 ```. Refer to line 127 and line 230 of ["steganography.py"](./steganography.py) to embed and decipher respectively. 

  - All paswwords parameters are double-precision floating point resulting a 192 bits key length.

  
Example password: ``` -3.12457863, 5.14785236997, 0.00012364478```

  - Now you can run the file and look for image_encoded.tiff file in the same directory.

  

## Authors

[![ID](https://img.shields.io/badge/id-Tamojit-54C7EC.svg?style=for-the-badge)](http://tamojitsaha.info)


[![ID](https://img.shields.io/badge/id-Sandeepan-54C7EC.svg?style=for-the-badge)](http://sandeepan.info)


[![ID](https://img.shields.io/badge/id-Tanmoy-54C7EC.svg?style=for-the-badge)]( http://github.com/thetdg)

## License

Contents of this repository are realeased under [CC-BY-NC-SA 4.0](./LICENSE.md) 


[![License: CC BY-NC-SA 4.0](https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png)](https://creativecommons.org/licenses/by-nc-sa/4.0/)

## Feedback

You can always open a [issue](https://github.com/TamojitSaha/ChaosKit/issues/new) if you find any bug.