Abstract Advanced Audio Coding (AAC) is currently the most widely used audio
compression standard in Internet applications. In this paper, a large capacity secure …

Detection of information-hiding in JPEG images is actively delivered in steganalysis
community due to the fact that JPEG is a widely used compression standard and several …

In this paper, we present a novel stream data mining for audio steganalysis, based on
second order derivative of audio streams. We extract Mel-cepstrum coefficients and Markov …

In this paper, we propose a new multi-class steganalysis for binary image. The proposed
method can identify the type of steganographic technique used by examining on the given …

The wide use of high-performance image acquisition devices and powerful image-
processing software has made it easy to tamper images for malicious purposes. Image …

We tackle the problem of the steganalysis of images produced by different sources. We first
use a classifier to try to understand the image source and then use a version of the …

With most image steganalysis traditionally based on supervised machine learning methods,
the size of training data has remained static at up to 20000 training examples. This …

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 …

Blind steganalyzers can be used for many diverse applications in steganography that go
well beyond a mere detection of stego content. A blind steganalyzer can also be used for …

Quantitative steganalyzers are important in forensic steganalysis as they can estimate the
payload, or, more precisely, the number of embedding changes in the stego image. This …