Images, especially colored JPEG images, are increasingly being used as cover by many steganography techniques. Steganalysis detects the presence of message embedded by steganography techniques. Many authors have given different steganalysis techniques which differ mainly on the feature sets being used. In this paper we are comparing feature sets of six of these steganalysis techniques for multi...

Calibration is a common practice in image steganalysis for extracting prominent features. Based on the idea of reembedding, a new set of calibrated features for audio steganalysis applications are proposed. These features are extracted from a model that has maximum deviation from human auditory system and had been specifically designed for audio steganalysis. Ability of the proposed system is t...

The skill of observing the invisible embedded messages in images, audio, video, text as multimedia and protocols called Steganalysis. An efficient steganalysis method should determine the existence of implanted messages and stego digital image and present some results about the used steganographic algorithm. The challenging problem of this study is a massive quantity of stego hosts to learn val...

Steganalysis means analysis of stego images. Like cryptanalysis, steganalysis is used to detect messages often encrypted using secret key from stego images produced by steganography techniques. Recently lots of new and improved steganography techniques are developed and proposed by researchers which require robust steganalysis techniques to detect the stego images having minimum false alarm rat...

Steganography is the art and science of secret communication, aiming to conceal the existence of a communication. Steganography in the modern day sense of the word usually refers to information or a file that has been concealed inside a digital Image, Audio/Video file. Information Security is becoming an inseparable part of Data Communication through Internet. In order to address this Informati...

While image steganalysis has become a well researched domain in the last years, audio steganalysis still lacks a large scale attentiveness. This is astonishing since digital audio signals are, due to their stream-like composition and the high data rate, appropriate covers for steganographic methods. In this work one of the first case studies in audio steganalysis with a large number of informat...

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...

Steganography is a science of hiding messages into multimedia documents. A message can be hidden in a document only if the content of a document has high redundancy. Although the embedded message changes the characteristics and nature of the document, it is required that these changes are difficult to be identified by an unsuspecting user. On the other hand, steganalysis develops theories, meth...

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 ...

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...