The Use of Generative-Adversarial Networks to Counter Steganalysis

An approach using a generative adversarial network (GAN) is proposed to increase the robustness of the steganographic method against modern steganalyzers. This approach is based on the combined operation of a GAN, a pixel importance map, and the least significant bit (LSB) substitution method. The results of the experimental studies confirmed the effectiveness of the proposed approach.

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Publication Details

Journal
Automatic Control and Computer Sciences
Published
2024-12-01
DOI
https://doi.org/10.3103/s0146411624700937
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
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article

The Use of Generative-Adversarial Networks to Counter Steganalysis

D. S. Lavrova, E. B. Aleksandrova, A. I. Bezborodko
Automatic Control and Computer Sciences
Advanced Steganography and Watermarking Techniques
article

The Use of Generative-Adversarial Networks to Counter Steganalysis

D. S. Lavrova, E. B. Aleksandrova, A. I. Bezborodko
article en

Abstract

An approach using a generative adversarial network (GAN) is proposed to increase the robustness of the steganographic method against modern steganalyzers. This approach is based on the combined operation of a GAN, a pixel importance map, and the least significant bit (LSB) substitution method. The results of the experimental studies confirmed the effectiveness of the proposed approach.

Automatic Control and Computer SciencesVol. 58(8)
Peter the Great St. Petersburg Polytechnic University (RU)
Openalex Percentile: Top 72%
Advanced Steganography and Watermarking Techniques
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