Blind steganalysis based on classifying feature vectors derived from images is becoming
increasingly more powerful. For steganalysis of JPEG images, features derived directly in …

The aim of this paper is to construct a practical forensic steganalysis tool for JPEG images
that can properly analyze single-and double-compressed stego images and classify them to …

In this paper, we introduce a new feature-based steganalytic method for JPEG images and
use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their …

Today, the most accurate steganalysis methods for digital media are built as supervised
classifiers on feature vectors extracted from the media. The tool of choice for the machine …

In this paper, we propose a rich model of DCT coefficients in a JPEG file for the purpose of
detecting steganographic embedding changes. The model is built systematically as a union …

This paper introduces a novel feature set for steganalysis of JPEG images. The features are
engineered as first-order statistics of quantized noise residuals obtained from the …

Adaptive JPEG steganographic schemes are difficult to preserve the image texture features
in all scales and orientations when the embedding changes are constrained to the …

All the modern steganographic algorithms for digital images are content adaptive in the
sense that they restrict the embedding modifications to complex regions of the cover, which …

The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced
specifically for steganalysis of digital media, which currently uses high-dimensional feature …

The threat posed by hackers, spies, terrorists, and criminals, etc. using steganography for
stealthy communications and other illegal purposes is a serious concern of cyber security …