Consolidation and hardening of digital media steganalysis

The proposed study aims at improving further the existing state of the art in digital media steganalysis. Of particular interest is the improvement of the efficiency and the robustness of the detection methods. For increasing the robustness of steganalysis, methods for reducing the CSM, complementary to those that will be examined in UNCOVER will be examined. In particular, the synergy with adversarial learning methods will be investigated in WP3. Moreover, several topics for improving the efficiency of the developed steganalysis methods will be investigated. This will lead to an efficient steganalysis framework installed and running at the premises of SGRS-CYBER and reaching a TRL around 5.

The project STEGANO - DAP/22-11 is financed under the DFR call.