Increasing the robustness of the steganographic method with code control and blind decoding
Year: 2024
Type: article
Abstract: Due to the increasing amount of multimedia content in global traffic, steganographic methods are becoming a key element of information protection systems.Modern steganographic methods fall under such requirements as: ensuring the reliability of perception, resistance to attacks against the embedded message, ensuring sufficient bandwidth.These requirements must be met while ensuring high computational efficiency, which, as practice shows, is possible when performing steganographic transformation in the spatial domain of the container.One of the promising steganographic methods that meet all of the above requirements while ensuring high computational efficiency is the steganographic method with code control, for which a new modification with blind decoding was created.However, this modification was researched only when operating with codewords of size 8x8, while in practice, in the case of creating covert channels in conditions of significant attacks, or when operating with digital video, it may be necessary to ensure greater resistance to attacks against the embedded message.The purpose of this paper is to modify the steganographic method with code control and blind decoding to increase its resistance to attacks against the embedded message by using codewords of size 16x16.The paper shows that simply increasing the length of the codeword does not lead to an increase in the resistance of the steganographic method with code control and blind decoding, which justifies the need to search for new structures of codewords of larger size.The paper proposes a new method of formation of codewords and a modification of the steganographic method with code control and blind decoding based on them.The performed experimental research has allowed us to establish the high efficiency of the proposed modification of the steganographic method, in particular, when using codewords of size 16x16 it becomes possible to ensure an error rate of 1.2% when extracting additional information, which is twice as good as using the original modification of the steganographic method with code control and blind decoding.
Authors: J. K. Ziginova, A.V. Sokolov
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408086294