Open AccessEmbedding information into JPEG images with distortion masking in frequency domain
Author(s) -
Anna Melman,
Pavel Petrov,
Alexander Shelupanov,
A. V. Aristov,
Yury Pokholkov
Publication year - 2020
Publication title -
doklady tomskogo gosudarstvennogo universiteta sistem upravleniâ i radioèlektroniki
Language(s) - English
Resource type - Journals
ISSN - 1818-0442
DOI - 10.21293/1818-0442-2020-23-4-45-50
Subject(s) - steganography , steganalysis , information hiding , jpeg , embedding , computer science , quantization (signal processing) , steganography tools , artificial intelligence , cover (algebra) , computer vision , discrete cosine transform , computer security , data mining , pattern recognition (psychology) , image (mathematics) , engineering , mechanical engineering
Steganography allows to ensure the confidentiality of information by organizing covert data transmission channels. However, the effectiveness of steganographic information protection directly depends on the invisibility of a secret message, both for the human eye and for steganalysis methods. The paper proposes an approach that allows solving the problem of vulnerability of the popular QIM embedding method to statistical steganalysis. For this, it is proposed to use a variable quantization step, which is adaptively selected for each block of the JPEG cover image. The experimental results demonstrate an increase in the security level of steganographic embedding due to the application of the proposed approach.