We consider the problem of detecting spatial domain least significant bit (LSB) matching
steganography in grayscale images, which has proved much harder than for its counterpart …

This paper presents a learning‐based steganalysis/detection method to attack spatial
domain least significant bit (LSB) matching steganography in grayscale images, which is the …

Considerable progress has been made in the detection of steganographic algorithms based
on replacement of the least significant bit (LSB) plane. However, if LSB matching, also …

This paper models the messages embedded by spatial least significant bit (LSB) matching
as independent noises to the cover image, and reveals that the histogram of the differences …

The information-hiding ratio is a well-known metric for evaluating steganalysis performance.
In this paper, we introduce a new metric of image complexity to enhance the evaluation of …

This paper presents a novel method for detection of steganographic methods that embed in
the spatial domain by adding a low-amplitude independent stego signal, an example of …

This letter proposes a modification to the least-significant-bit (LSB) matching, a
steganographic method for embedding message bits into a still image. In the LSB matching …

In this paper, we present a scheme based on feature mining and pattern classification to
detect LSB matching steganography in grayscale images, which is a very challenging …

We give initial results from a new project which performs statistically accurate evaluation of
the reliability of image steganalysis algorithms. The focus here is on the Pairs and RS …

A new steganalytic technique based on the difference image histogram aimed at LSB
steganography is proposed. Translation coefficients between difference image histograms …