Results 31 to 40 of about 914 (259)
Detection of Size Modulation Covert Channels Using Countermeasure Variation [PDF]
Journal of Universal Computer Science, 2019 Network covert channels enable stealthy communications for malware and data exfiltration. For this reason, developing effective countermeasures for these threats is important for the protection of individuals and organizations.
Steffen Wendzel +3 more
doaj +3 more sources
Securing Fixed Neural Network Steganography
Proceedings of the 31st ACM International Conference on Multimedia, 2023 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
openaire +2 more sources
Perfect undetectability of network steganography
Security and Communication Networks, 2016 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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Analysis of Reversible Network Covert Channels
IEEE Access, 2022 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
doaj +1 more source
On Importance of Steganographic Cost For Network Steganography
CoRR, 2014 15 pages, 14 figures, 3 ...
Wojciech Mazurczyk +3 more
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Invisible steganography via generative adversarial networks [PDF]
Multimedia Tools and Applications, 2018 13 pages, 7 ...
Ru Zhang 0002, Shiqi Dong, Jianyi Liu
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Convolutional neural network steganalysis's application to steganography [PDF]
2017 IEEE Visual Communications and Image Processing (VCIP), 2017 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
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Computers, 2020 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
doaj +1 more source
High-Pass-Kernel-Driven Content-Adaptive Image Steganalysis Using Deep Learning
Mathematics, 2023 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
doaj +1 more source