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Digital Invisible Ink Toolkit

The Digital Invisible Ink Toolkit is a Java steganography tool that can hide any sort of file inside a digital image (regarding that the message will fit, and the image is 24 bit colour). It will work on Windows, Linux and Mac OS because it is written in Java and thus platform independent.

There are four highly customisable algorithms in the tool, as well as an open-source implementation of RS Analysis (an extremely good steganalysis method). The tool has the additional advantage of being able to simulate hiding - so you can get an accurate map of where the information is hidden.

The compiled version can be run by simply double clicking the .jar file (in Windows), or by running at a command line with the following options (you will need to run at the command line if you are using big pictures, such as those greater than 500x500 pixels or it will run out of memory):

java -jar -Xmx512m diit-1-5.jar

Where -Xmx512m tells the virtual machine to use 512MB of physical RAM (at most) - please change to suit your own machine specifications.


Powerpoint presentation from the University of Waikato Open Day 2006 is now available for download here.


The Digital Invisible Ink Toolkit is my honours project for the University of Waikato Computer Science Department. I welcome any suggestions for improvement on the project, and I would love to hear from anyone who has written their own algorithms for it. My honours is now over, but I will still maintain this project and add new algorithms/filters from time to time. I'll also fix bugs if people let me know where they are :-)

This project supports donations. Your donations will help me fund my study at university and will enable me to continue supporting this project while studying. Any donations are very much appreciated! Please click the link below if you'd like to support my project.

Support This Project

My email is: kah18 |at| users |dot| sourceforge |dot| net

Click on the logo below to go to the main sourceforge page - they helped me out by hosting my project, so please visit their site:

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(c) K. Hempstalk
University of Waikato, 2005