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): Where -Xmx512m tells the virtual machine to use 512MB of physical RAM (at most) - please change to suit your own machine specifications.
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PROJECT NEWS 10 September 2007 9 June 2006 5 May 2006 17 February 2006 5 February 2006 30th October
2005
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ABOUT THE PROJECT 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. 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: |
(c) K. Hempstalk, University of Waikato, 2005