JULIO C. HERNANDEZ-CASTRO, JUAN E. TAPIADOR, ESTHER PALOMAR AND ANGEL ROMERO-GONZALEZ School of Computing University of Portsmouth Hampshire, PO1 2UP UK E-mail: [email protected] Department of Computer Science University of York York, YO10 5DD UK E-mail: [email protected] Department of Computer Science Carlos III University of Madrid Leganés, 28911 Spain E-mail: [email protected]...

Steganography is used to hide the occurrence of communication. Discovering and rendering useless such covert message is an art of steganalysis. The importance of techniques that can reliably detect the presence of secret messages in images is increasing as images can hide a large amount of malicious code that could be activated by a small Trojan horse type of virus and also for tracking crimina...

Background: Generic Steganalysis proves to be a boon when there is a suspicion of covert channels with no other information regarding stego images. With the advent of sophisticated steganographic techniques, the process becomes tough as the hidden data is very meager and leaves undecipherable artifacts. A Universal, Blind and Statistical Steganalyzer needs to be more generalized as it encounter...

To detect the presence of information in a stego image more reliably, a blind JPEG steganalysis method based on interand intra-wavelet subband correlations in the wavelet domain is proposed. First, after two-level wavelet decomposition, the joint probability density of each subband’s difference from neighboring coefficients in the horizontal, vertical, and diagonal directions is calculated, and...

A new, simple, approach for active steganography is proposed in this paper that can successfully resist recent blind steganalysis methods, in addition to surviving distortion constrained attacks. We present Yet Another Steganographic Scheme (YASS), a method based on embedding data in randomized locations so as to disable the selfcalibration process (such as, by cropping a few pixel rows and/or ...

This paper presents a universal blind steganalysis method for color images. The key new components of the presented method are color wavelet decomposition and a set of feature vectors. In addition, it is based on simple Fisher Linear Discriminatant approach for classifying the received image as containing steganographic content or not. The presented class of color wavelets has several useful pr...

This work proposes two main contributions to statistical steganalysis of Yet Another Steganographic Scheme (YASS) in JPEG images. Firstly, this work presents a reliable blind steganalysis technique to predict YASS which is one of recent and least statistically detectable embedding scheme using only five features, four Huffman length statistics (H) and the ratio of file size to resolution (FR In...

We propose a new paradigm for blind, universal, steganalysis in the case when multiple actors transmit multiple objects, with guilty actors including some stego objects in their transmissions. The method is based on clustering rather than classification, and it is the actors which are clustered rather than their individual transmitted objects. This removes the need for training a classifier, an...