Steganalysis via a convolutional neural network using large convolution filters for embedding process with same stego key: A deep learning approach for telemedicine

Discussion and conclusions The obtained results are very encouraging, and they outperform all the previous deep learning proposals for steganalysis. A first step in the design of a universal detector has been achieved too, as we are able to detect HUGO based hidden messages even when a WOW steganographier has been used during the training stage. These results allow us to propose to add fragile watermarks on media like pictures or pdf medical documents, to guarantee the authenticity of the material: any attempt of modification of the support will alter the watermark, proving by doing so the modification. Another application is to add personal and medical information inside medical images.
Source: European Research in Telemedicine - Category: Information Technology Source Type: research