TY - JOUR AU - Bunzel, Niklas AU - Steinebach, Martin AU - Liu, Huajian PY - 2021/03/20 Y2 - 2024/03/28 TI - Cover-aware Steganalysis JF - Journal of Cyber Security and Mobility JA - JCSANDM VL - 10 IS - 1 SE - ARES 2020 Workshops DO - 10.13052/jcsm2245-1439.1011 UR - https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5967 SP - 1-26 AB - <p>The increasing digitization offers new ways, possibilities and needs for a secure transmission of information. Steganography and its analysis constitute an essential part of IT-Security. In this work we show how methods of blind-steganalysis can be improved to work in cover-aware scenarios, we will call this non-blind steganalysis. The main objective was to examine how to take advantage of the knowledge of reference images to maximize the accuracy-rate of the analysis.</p><p><br>Therefore we evaluated common stego-tools and their embedding algorithms and established a dataset of 353110 images. The images have been applied to test the potency of the improved methods of the non-blind steganalysis. The results show that the accuray can be significantly improved by using cover-images to produce reference images. Also the aggregation of the outcomes has shown to have a positive impact on the accuracy. Particularly noteworthy is the correlation between the qualities of the stego- and coverimages. Only by consindering both, the accuracy could strongly be improved. Interestingly the difference between both qualities also has a deep impact on the results.</p> ER -