This paper presents a new active steganalysis method to break the transform domain steganography. Most of steganalysis techniques focus on detecting the presence or absence of a secret message in a cover (passive steganalysis), but in some cases we need to extract or estimate a hidden message (active steganalysis). Despite the importance of estimating the message, little research has been condu...

In this paper, we study how specific design principles and elements of steganographic schemes for the JPEG format influence their security. Our goal is to shed some light on how the choice of the embedding operation and domain, adaptive selection channels, and syndrome coding influence statistical detectability. In the experimental part of this paper, the detectability is evaluated using a stat...

According to the analysis of the effect of the texture complexity on steganalysis, we propose a data hiding algorithm based on texture complexity and difference pixel value. Firstly, the image is decomposed into blocks, after which the texture complexity of each block is calculated and blocks with high complexity are selected. Then the different pixel values on two directions of the selected bl...

This paper proposes an extension of DCT-based Mod4 steganographic method to realize multiple messages embedding (MME). To implement MME, we utilize the structural feature of Mod4 that uses vGQC (valid group of 2 × 2 adjacent quantized DCT coefficients) as message carrier. vGQC’s can be partitioned into several disjoint sets by differentiating the parameters where each set could serve as an indi...

Research in steganalysis is motivated by the concern that communications associated with illicit activity could be hidden in seemingly innocent electronic transactions. By developing defensive tools before steganographic communication grows, computer security professionals will be better prepared for the threat. This paper proposes a computational immune system (CIS) approach to blind steganogr...

In this paper, we propose a regression framework for steganalysis of digital images that utilizes the recently proposed rich models – high-dimensional statistical image descriptors that have been shown to substantially improve classical (binary) steganalysis. Our proposed system is based on gradient boosting and utilizes a steganalysis-specific variant of regression trees as base learners. The ...

This paper presents a novel Mod4 steganographic method in discrete cosine transform (DCT) domain. Mod4 is a blind steganographic method. A group of 2 2 spatially adjacent quantized DCT coefficients (GQC) is selected as the valid message carrier. The modulus 4 arithmetic operation is then applied to the valid GQC to embed a pair of bits. When modification is required for data embedding, the shor...

A B S T R A C T Perturbed Quantization (PQ) steganography scheme is almost undetectable with the current steganalysis methods. We present a new steganalysis method for detection of this data hiding algorithm. We show that the PQ method distorts the dependencies of DCT coefficient values; especially changes much lower than significant bitplanes. For steganalysis of PQ, we propose features extrac...

This paper addresses a novel steganography method for images. Most statistical steganalysis algorithms are strong to defeat previous steganography algorithms. RS steganalysis and pixel difference histogram analysis are two well-known statistical steganalysis algorithms which detect non-random changes caused by embedding a secret message into cover image. In this paper, we first explain how two ...

Through dynamic compensation of pixel values of the LSB (Least Significant Bit) embedded image, this paper presents a novel LSB information hiding method against pixels Sample Pairs Steganalysis (SPA), a powerful steganalysis method proposed by Dumitrescu et al. with high precision. This approach embeds messages in the LSB plane of the carrier image randomly via a chaotic system, then makes a d...