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IET Image Processing, Volume 19, Issue 1, January/December 2025.A new set of filtering kernels are used for the preprocessing layer to facilitate the extraction of image steganographic features. While using depthwise separable convolution in this model, a new residual network block is also designed to better extract hidden information from images.
Yuanyuan Ma +5 more
wiley +1 more source
Analysis review on linguistic steganalysis
Indonesian Journal of Electrical Engineering and Computer Science, 2020 <span>Steganography and steganalysis are essential topics for hiding information. Steganography is a technique of conceal secret messages by transmitting data through different domains. Its objective is to avoid discovery of secret messages. Steganalysis, meanwhile, is a method for locating the secret messages contained in the stego text.
Syiham Mohd Lokman +3 more
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From Blind to Quantitative Steganalysis [PDF]
IEEE Transactions on Information Forensics and Security, 2009 A quantitative steganalyzer is an estimator of the number of embedding changes introduced by a specific embedding operation. Since for most algorithms the number of embedding changes correlates with the message length, quantitative steganalyzers are important forensic tools.
Pevný, T, Fridrich, J, Ker, A
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JPEG Image Steganography With Automatic Embedding Cost Learning
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.A great challenge to steganography has arisen with the wide application of steganalysis methods based on convolutional neural networks (CNNs). To this end, embedding cost learning frameworks based on generative adversarial networks (GANs) has been proposed and achieved success for spatial image steganography.
Jianhua Yang +6 more
wiley +1 more source
Color image steganalysis based on channel gradient correlation
International Journal of Distributed Sensor Networks, 2019 It is one of the potential threats to the Internet of Things to reveal confidential messages by color image steganography. The existing color image steganalysis algorithm based on channel geometric transformation measures owns higher accuracy than the ...
Yuhan Kang +5 more
doaj +1 more source
Image steganalysis for digital forensics [PDF]
, 2021 Στην σημερινή εποχή, η στεγανογραφία είναι ο κύριος τρόπος για την επίτευξη παράνομης μυστικής επικοινωνίας. Ως εκ τούτου, η ανάγκη ανίχνευσης στεγανογραφικού περιεχομένου και ιδίως στεγανογραφημένων εικόνων γίνεται επιτακτική. Ωστόσο, η στεγανάλυση είναι ένα πολύ δύσκολο έργο και η επιτυχία της εξαρτάται από πολλούς παράγοντες, όπως η παρουσία του ...
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Leveraging High‐Dimensional Mapping for Effective JPEG Steganalysis
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Steganography is a critical information‐hiding technique widely used for the covert transmission of secret information on social media. In contrast, steganalysis plays a key role in ensuring information security. Although various effective steganalysis algorithms have been proposed, existing studies typically treat color images as three independent ...
Meng Xu, Xiangyang Luo, Beijing Chen
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CAAI Transactions on Intelligence Technology, Volume 9, Issue 6, Page 1435-1450, December 2024.Abstract As an effective way to securely transfer secret images, secret image sharing (SIS) has been a noteworthy area of research. Basically in a SIS scheme, a secret image is shared via shadows and could be reconstructed by having the required number of them.
Sara Charoghchi +2 more
wiley +1 more source
RIHINNet: A robust image hiding method against JPEG compression based on invertible neural network
IET Image Processing, Volume 18, Issue 13, Page 3801-3814, 13 November 2024.The loss function is designed to hide the secret image as much as possible in the area that will not change much after JPEG compression, which is helpful to improve the robustness of the model against JPEG compression. The current image‐hiding model fails to converge when it is trained robustly for all compression quality factors. Through the design of
Xin Jin +4 more
wiley +1 more source
Adversarial Attack Based on Perturbation of Contour Region to Evade Steganalysis-Based Detection
IEEE Access, 2021 Deep neural networks (DNN) are applied in various fields because they afford good performance. However, they seem vulnerable to adversarial examples. Therefore, studies are actively investigating adversarial defenses to improve the robustness of DNNs as ...
Hyunsik Na, Gwonsang Ryu, Daeseon Choi
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