Model-based steganography is a promising approach for hidden communication in JPEG images with high steganographic capacity and competitive security. In this paper we propose an attack, which is based on coefficient types that can be derived from the blockiness adjustment of MB2. We derive 30 new features to be used in combination with existing blind feature sets leading to a remarkable reducti...

in this paper, we proposed a data-hiding scheme based on run length matrix. in a previously proposed method, a technique based on texture classification was introduced where four statically features extracted from run length matrix; then best cover images are selected based on these features. using appropriate features for comparing images from undetectability viewpoint, guarantees, less detect...

We propose a secure steganographic approach with a high capacity. We first use small neighborhoods of the original histogram to calculate the minimum remapping from a histogram to the odd-only and even-only histograms. We then employ a quantization index modulation-based odd-even embedding to preserve the histogram of each embedding subchannel. A minimum distortion remapping policy is used to d...

Universal blind steganalysis attempts to detect steganographic data without knowledge about the applied steganographic system. Farid proposed such a detection algorithm based on higher-order statistics for separating original images from stego images. His method shows an astonishing performance on current steganographic schemes. Starting from the statistical approach in Farid’s algorithm, we in...

Steganography is a technique to hide/protect the information. Many people are using this technique to hide their malicious data, so that such data can not be intercepted easily. This paper deals with a review on various Stegangraphy and Steganalysis Techniques .Different papers related to steganography, classification of steganography, video steganography were studied and reviewed. The aim is t...

Steganalysis is the art of detecting the message's existence and blockading the covert communication. Various steganography techniques have been proposed in literature. The Least Significant Bit (LSB) steganography is one such technique in which least significant bit of the image is replaced with data bit. As this method is vulnerable to steganalysis so as to make it more secure we encrypt the ...

A secure method for steganography is proposed. Pixelvalue differencing (PVD) steganography and bit-plane complexity segmentation (BPCS) steganography have the weakness of generating blocky effects and noise in smooth areas and being detectable with steganalysis. To overcome these weaknesses, a secure bit-plane based steganography method on the spatial domain is presented, which uses a robust me...

In this paper, we investigate chaotic−type features for universal speech steganalysis. These features are used in the design of linear regression classifier. The steganalyzer is tested on watermarking and steganographic methods. Experimental results show the potential of chaotic−type features for their discriminatory power to be used in steganalysis. We believe that the integration of chaotic−t...

Steganalysis consists in classifying documents as steganographied or genuine. This paper presents a methodology for steganalysis based on a set of 193 features with two main goals: determine a sufficient number of images for effective training of a classifier in the obtained high-dimensional space, and use feature selection to select most relevant features for the desired classification. Dimens...

This paper presents study about how to hide the useful information and give the superficial knowledge of Steganography, compare encryption, and cryptography. This paper describes the present, past and future of Steganography. In this paper, we introduce Steganalysis for computer forensic investigation. Digital forensics is helpful in investigation of the cyber-crime and computer crime. With the...