The Use of Generative-Adversarial Networks to Counter Steganalysis

被引：0
|
作者：
Aleksandrova, E. B. [1 ]
Bezborodko, A. I. [1 ]
Lavrova, D. S. [1 ]
机构：
[1] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2024年 / 58卷 / 08期
关键词：
generative adversarial networks; steganography; steganographic method; steganalysis; machine learning; MODEL;
D O I：
10.3103/S0146411624700937
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1283 / 1288
页数：6
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