Book ChapterDOI
Detect JPEG Steganography Using Polynomial Fitting
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The article was published on 2006-01-01. It has received 4 citations till now. The article focuses on the topics: Lossless JPEG & Steganalysis.read more
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Journal ArticleDOI
Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images
TL;DR: This paper presents a scheme based on feature mining and pattern classification to detect LSB matching steganography in grayscale images, and shows that image complexity is an important reference to evaluation of steganalysis performance.
Journal ArticleDOI
Image complexity and feature mining for steganalysis of least significant bit matching steganography
TL;DR: A new metric of image complexity is introduced to enhance the evaluation of steganalysis performance and indicates that the significance of features and the detection performance depend not only on the information-hiding ratio, but also on the image complexity.
Proceedings Article
Feature mining and neuro-fuzzy inference system for steganalysis of LSB matching stegangoraphy in grayscale images
Qingzhong Liu,Andrew H. Sung +1 more
TL;DR: Experimental results indicate that it remains very challenging to steganalyze LSB matching steganography in grayscale images with high complexity, and a Dynamic Evolving Neural Fuzzy Inference System (DENFIS) based feature selection is proposed, as well as the use of Support Vector Machine Recursive Feature Elimination (SVM-RFE) to obtain better detection accuracy.
Feature mining with computational intelligence and its applications in image steganalysis and bioinformatics
TL;DR: This thesis aims to detect the information-hiding behavior in steganographic systems and introduces the introduction on bioinformatics; the contributions in image steganalysis are presented in chapters 2, 3, …