Abstract

This work aims to develop the heuristic steganalysis method of static JPEG images, based on the usage of artificial immune systems that allows detecting the presence of hidden information in them with good results on image processing time. A formal description of the artificial immune system’s primary nodes and an analysis of the obtained experimental results are presented. The proposed method allows detecting the presence of hidden information embedded by various popular steganography tools (like OutGuess, Steghide, and F5) in static JPEG images with sufficiently high accuracy.

中文翻译：

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基于人工免疫系统的静态JPEG图像隐写分析方法

摘要

这项工作的目的是基于人工免疫系统的使用，开发静态JPEG图像的启发式隐写分析方法，该方法可以检测其中存在隐藏信息的情况，从而在图像处理时间上取得良好的效果。介绍了人工免疫系统主要结节的形式描述，并对获得的实验结果进行了分析。所提出的方法允许以足够高的精度检测在静态JPEG图像中由各种流行的隐写术工具（例如OutGuess，Steghide和F5）嵌入的隐藏信息的存在。