Results 31 to 40 of about 878 (261)
Multilevel Network Steganography in Fountain Codes [PDF]
We present a method to establish a network storage covert channel in a fountain code, which is used to provide reliable communication over lossy network with low overhead and without acknowledgment. As also parts of the secret message get lost when a carrier packet is lost, reliable transmission of the secret message is provided by using a second ...
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Perfect undetectability of network steganography
AbstractThe paper presents StegBlocks, which defines a new concept for performing undetectable hidden communication. StegBlocks is a general approach for constructing methods of network steganography. In StegBlocks, one has to determine objects with defined properties, which will be used to transfer hidden messages.
Wojciech Fraczek, Krzysztof Szczypiorski
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Securing Fixed Neural Network Steganography
Image steganography is the art of concealing secret information in images in a way that is imperceptible to unauthorized parties. Recent advances show that is possible to use a fixed neural network (FNN) for secret embedding and extraction. Such fixed neural network steganography (FNNS) achieves high steganographic performance without training the ...
Zicong Luo +4 more
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Analysis of Reversible Network Covert Channels
In the last years, the utilization of information hiding techniques for empowering modern strains of malware has become a serious concern for security experts.
Przemyslaw Szary +3 more
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On Importance of Steganographic Cost For Network Steganography
15 pages, 14 figures, 3 ...
Wojciech Mazurczyk +3 more
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Image steganography is a technology that hides sensitive information into an image. The traditional image steganography method tends to securely embed secret information in the host image so that the payload capacity is almost ignored and the ...
Xintao Duan +5 more
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Convolutional neural network steganalysis's application to steganography [PDF]
This paper presents a novel approach to increase the performance bounds of image steganography under the criteria of minimizing distortion. The proposed approach utilizes a steganalysis convolutional neural network (CNN) framework to understand an image's model and embed in less detectable regions to preserve the model.
Mehdi Sharifzadeh +3 more
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Invisible steganography via generative adversarial networks [PDF]
13 pages, 7 ...
Ru Zhang 0002, Shiqi Dong, Jianyi Liu
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As the popularity of social network service (SNS) messengers (such as Telegram, WeChat or KakaoTalk) grows rapidly, cyberattackers and cybercriminals start targeting them, and from various media, we can see numerous cyber incidents that have occurred in ...
Jun Park, Youngho Cho
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High-Pass-Kernel-Driven Content-Adaptive Image Steganalysis Using Deep Learning
Digital images cannot be excluded as part of a popular choice of information representation. Covert information can be easily hidden using images.
Saurabh Agarwal +2 more
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