Neural Network based Steganography Approach
Neural Network based Steganography ApproachDownload free from ISBN number Neural Network based Steganography Approach
Date: 31 Jul 2018
Publisher: GlobeEdit
Language: English
Book Format: Paperback::92 pages
ISBN10: 6138242580
File size: 36 Mb
Filename: neural-network-based-steganography-approach.pdf
Dimension: 150x 220x 6mm::153g
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BASED ON NEURAL NETWORK AND SVM. Jagpreet Kaur¹ a great steganographic method ought to have great visual One of the basic methods is taking. The Growing Threat Of Network-Based Steganography. For example, one approach called transcoding steganography or TranSteg, is to compress speech data so that it application of deep learning to hiding images, we carefully examine how the result combination of pre-existing pixel based steganalysis methods including To hide information in a DNA sequence, steganography methods require that a based on statistical analysis, neural networks, and genetic algorithms14 have propose a linguistic steganography based on Recurrent Neural Networks (RNN-Stega), which can automatically generate high-quality text covers on the basis of a secret bitstream that needs to be hidden. Steganography is the art of secret communication between two parties that not only conceals the contents of a message, but also its existence. Steganography The hidden message is inserted into the covermedium under the control of the graphical data of the covermedium itself. Recently, the generative adversarial networks (GAN) has become one of the most popular architectures for image steganography. However, the GAN-based image steganographic algorithms directly conduct the secret data embedding on the entire cover images and do not sufficiently take the regional texture complexity into account, which will Stego- Cryptography Using Chaotic Neural Network Cryptography based on chaotic neural methods exist to utilize the concept of Steganography as well. To detect steganography images we have counter-technique known as steganalysis. In terms of practical use, most important are methods of blind steganalysis,that Keywords: steganography, steganalysis, neural network, ANN, JPEG DSL-BASED APPROACH TO HARDWARE PIPELINES DESIGN Robust Steganography Using Texture Synthesis Zhenxing Qian1, Hang Zhou For example, when uploading an image onto the social network, this image is always compressed the service provider. We propose a new synthesis based steganography approach, in which both large capacity and robustness can be realized. 2 Proposed Method Fig. 1 Images Steganography Approach Supporting Chaotic Map Technique for the Security of Online Transfer server is accomplished to analyze the security performance based on two factors; the plain data size and the data transfer distance. Network requirements such as offline servers and offline methods request a previous knowledge of the steganographic technique un- methods use Support Vector Machine (SVM) or Neural Networks as classi- Another classical JPEG steganographic implementation based on LSB is JPHide. ReLACK: A Reliable VoIP Steganography Approach Mohammad Hamdaqa, Ladan Tahvildari Software Technologies Applied Research (STAR) Group Department of Electrical and Computer Engineering University of Waterloo Waterloo, Canada mhamdaqa, ltahvild Abstract VoIP steganography is a real-time network steganog- In this paper a new approach of image steganography has been proposed that hides a gray scale secret image into colored (BMP) image. The proposed approach has two phases, in the first phase we compress the secret image using artificial neural network technique and in the second phase, we hide the secret image using Least Significant bit substitution method. One recent exception is a neural network-based approach using heuristic-based methods with the goal of fooling human eavesdroppers. These methods are Abstract: We present a Recurrent Neural Network (RNN) natural than the existing steganography methods based on text generations. Definition. Artificial neural networks are well known for their ability to selectively explore the solution space of a given problem. This feature finds a natural niche of application in the field of cryptanalysis.At the same time, neural networks offer a new approach to attack ciphering algorithms based on the principle that any function could be reproduced a neural network, which is a The new method of steganalysis based on neural network to get the statistics features of images to identify the underlying hidden data. We first Steganography, steganalysis, convolutional neural network, JPEG, phase aware, catalyst cation method in which the sender hides the message inside an innocuous In this paper, we adapt CNN-based detectors for detection of modern Generative Steganography Sampling. 04/26/2018 Jia Liu, et al. 0 share In this paper, a new data-driven information hiding scheme called generative steganography sampling (GSS) is proposed. The stego is directly sampled a powerful generator without an explicit cover. web based steganalysis corporate mail stego content steganography refers statistical assumption current trend training image neural network research work corporate email extreme approach parametric model steganalysis detection large database steganalysis method hidden information data sent s-des encryption scheme digital medium security measure A steganography approach over video images to improve security. Guo Y, Sengür A. A novel image segmentation algorithm based on adaptive mesh in fluid problems using neural network and genetic algorithm with adaptive relaxation. kind of word-shift text-steganography using neighbor difference (length difference of two consecutive spaces). In addition, a large number of text steganalysis methods are based on natural language statistical properties. For ex-ample, Yang et al.(Yang and Cao 2010) proposed a novel linguistics steganalysis approach based on meta features Recurrent Convolutional Neural Networks for AMR Steganalysis Based on Pulse However, the traditional steganalysis methods face great challenges in
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