Results 1 to 10 of about 771 (160)
SteganoCNN: Image Steganography with Generalization Ability Based on Convolutional Neural Network
Entropy, 2020 Image-to-image steganography is hiding one image in another image. However, hiding two secret images into one carrier image is a challenge today. The application of image steganography based on deep learning in real-life is relatively rare. In this paper,
Xintao Duan +4 more
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Principles and overview of network steganography [PDF]
IEEE Communications Magazine, 2014 7 pages, 3 ...
Wojciech Mazurczyk +1 more
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The Obfuscated Network Steganography
IEEE AccessNetwork header steganography is a specialized field of steganography that focuses on embedding hidden data within network headers rather than the payload of a communication.
da-Chih Lin, Shang-Yu Chou
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Multilayer Detection of Network Steganography [PDF]
Electronics (Switzerland), 2020 This paper presents a new method for steganography detection in network protocols. The method is based on a multilayer approach for the selective analysis of derived and aggregated metrics utilizing machine learning algorithms. The main objective is to provide steganalysis capability for networks with large numbers of devices and connections.
Krzysztof Szczypiorski +1 more
exaly +2 more sources
AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography [PDF]
EntropySteganography has been widely used in the field of image privacy protection. However, with the advancement of steganalysis techniques, deep learning-based models are now capable of accurately detecting modifications in stego-images, posing a significant ...
Haiju Fan, Changyuan Jin, Ming Li
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IEEE Access, 2020 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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Sterilization of image steganography using self-supervised convolutional neural network [PDF]
PeerJ Computer ScienceBackground With the development of steganography technology, lawbreakers can implement covert communication in social networks more easily, exacerbating network security risks. Sterilization of image steganography methods can eliminate secret messages to
Jinjin Liu +5 more
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Steg Blocks: Ensuring Perfect Undetectability of Network Steganography
CoRR, 2015 6 pages, 1 figure, Accepted to Fourth International Workshop on Cyber Crime (IWCC 2015), co-located with 10th International Conference on Availability, Reliability and Security (ARES 2015), Toulouse, France, 24-28 August ...
Krzysztof Szczypiorski
exaly +3 more sources
ARPNetSteg: Network Steganography Using Address Resolution Protocol [PDF]
International Journal of Electronics and Telecommunications, 2020 Steganography is a technique that allows hidden transfer of data using some media such as Image, Audio, Video, Network Protocol or a Document, without its existence getting noticed. Over the past few years, a lot of research has been done in the field of
Punam Bedi, Arti Dua
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Generative Steganography Network
Proceedings of the 30th ACM International Conference on Multimedia, 2022 Steganography usually modifies cover media to embed secret data. A new steganographic approach called generative steganography (GS) has emerged recently, in which stego images (images containing secret data) are generated from secret data directly without cover media. However, existing GS schemes are often criticized for their poor performances.
Ping Wei 0004 +5 more
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