We consider the interplay between steganographer and the steganalyzer, and develop a steganalysis aware framework for steganography. The problem of determining a stego image is posed as a feasibility problem subject to constraint of data communication, imperceptibility, and statistical indistinguishability with respect to steganalyzer’s features. A stego image is then determined using set theor...

According to the research of LSB steganalysis, LSB steganography could destroy the distribution of 0 and 1 in the lowest bit planes, and this situation will cause the abnormality of histogram and asymmetry statistical, thereby left an opportunity that could be exploited to the steganalysis. From the view of steganalysis, this paper compared the two typical kinds of image scrambling methods whic...

Steganography and steganalysis of digital images is a catand-mouse game. In recent work, Fridrich, Goljan and Du introduced a method that is surprisingly accurate at determining if bitmap images that originated as JPEG les have b en altered (and even specifying where and how they were altered), even if only a single bit has been changed. However, steganographic embeddings that encode embedded d...

The main idea of this paper is to compare feature selection methods for dimension reduction of the original dataset to reach optimization of steganalysis process by artificial neural networks (ANN). Feature selection methods are tools based on statistic exploited in pre-processing step of data mining workflow. These methods are very useful in a dimension reduction, removing of insignificant dat...

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 problem in steganalysis. Five types of features are proposed. In comparison with other well-known feature sets, the set of proposed features performs the best. We compare different learning classifiers and deal with the issue...

Today, email management is not only a filing and storage challenge. Because law firms and attorneys must be equipped to take control of litigation, email authenticity must be unquestionable with strong chains of custody, constant availability, and tamper-proof security. Information Security and integrity are becoming more important as we use email for personal communication and business. Email ...

We investigate the performance of state of the art universal steganalyzers proposed in the literature. These universal steganalyzers are tested against a number of well-known steganographic embedding techniques that operate in both the spatial and transform domains. Our experiments are performed using a large data set of JPEG images obtained by randomly crawling a set of publicly available webs...

It is observed that the co-occurrence matrix, one kind of textural features proposed by Haralick et al., has played a very critical role in steganalysis. On the other hand, the data hidden in the image texture area has been known difficult to detect for years, and the modern steganographic schemes tend to embed data into complicated texture area where the statistical modeling becomes difficult....

Steganography refers to the technique of hiding secret messages into media such as text, audio, image and video without any suspicion, while steganalysis is the art and science of detection of the presence of steganography. Steganography can be used for the benefit of the mankind to serve us as well as by terrorists and criminals for malicious purposes. Both steganography and steganalysis have ...

HUGO is the content-based adaptive steganography method for spatial images which can approximately preserve the joint statistic of differences between up to four neighboring pixels in four different directions. But the steganalysis method based on the higher order local model can fail HUGO. In view of the above problem, an improved steganography is proposed. Firstly, by analyzing the higher ord...