DIIT provides a simple tool that can hide a message inside a 24-bit colour image so that knowing how it was embedded, or performing statistical analysis, does not make it any easier to find the concealed information. It also provides a framework for implementing other steganography algorithms for use in the tool.
|Tags||multimedia Graphics Security Cryptography|
|Operating Systems||OS Independent|
Release Notes: DIRT is an implementation of Shai Avidan and Ariel Shamir's "Seam Carving for Content Aware Image Resizing" algorithms. It allows you to remove and add seams to an image, resizing it in a non-uniform manner. DIRT uses the filter algorithms from DIIT to find the seams.
Release Notes: This release adds the ability to perform LSB matching with all hiding algorithms and fixes a few small bugs that occasionally caused the GUI to crash.
Release Notes: This release adds a new filter for the filterable hiding algorithms, two new hiding algorithms, and a couple of major interface improvements. The interface now sports an embedding rate progress bar, so you know in advance how much of the available hiding space will be used. The interface also has a new "Explain" button which gives a small synopsis of how each algorithm works.
Release Notes: This release tunes the hiding algorithm "BattleSteg" and fixes the interface bug which caused the algorithm options to come up incorrectly when the window was opened for the second time.
Release Notes: Sample pairs analysis code has been implemented in DIIT. With the pre-existing RS analysis, this tool allows for accurate steganalysis of images. Traditional (black and white) laplace graph information can also now be produced by DIIT. The bugs in some benchmarking formulas have been corrected.