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

页码：1283 / 1288

页数：6

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