A Survey of Machine Learning Algorithms and Their Application in Information Security |
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We consider the problem of detecting the presence of hidden data in colour bitmap images.
Like straightforward LSB Replacement, LSB Matching (which randomly increments or …

This paper presents an improved firefly algorithm (DyFA) for feature selection that improves
the convergence rate and reduces computational complexity through dynamic adaptation in …

An advantage of steganography, as opposed to other information hiding techniques, is that
the embedder can select a cover image that results in the least detectable stego image. In a …

In this paper, we use the previously proposed calibrated DCT features [9] to construct a
Support Vector Machine classifier for JPEG images capable of recognizing which …

There have been a number of steganography embedding techniques proposed over the
past few years. In turn the development of these techniques have led to an increased …

Abstract The 1996 Child Pornography Prevention Act (CPPA) extended the existing federal
criminal laws against child pornography to include certain types of" virtual porn". In 2002, the …

Linguistic steganalysis depends on efficient detection features due to the diversity of syntax
and the polysemia of semantics in natural language processing. This paper presents a novel …

The color image steganalysis method creats many redundant features during feature
extraction, which reduces the classification accuracy. To reduce the dimensionality of color …

WAM steganalysis is a feature-based classifier for detecting LSB matching steganography,
presented in 2006 by Goljan et al. and demonstrated to be sensitive even to small payloads …