Image Steganalysis based on Machine Learning Techniques
My Bachelor’s thesis dissertation focused on the steganalysis of digital images using machine learning techniques.
In particular, I compared the performances of different supervised algorithms (such as linear discriminants and kernel machines) for detecting the presence of the hidden information payload without any knowledge of the original version of the image. I was captured by the challenge of solving a complex and concrete task, with the need of applying imagination and creativity in the practical design of a system able to solve it.