Results 11 to 20 of about 6,079 (176)
Journal of Cyber Security and Mobility, 2021 The increasing digitization offers new ways, possibilities and needs for a secure transmission of information. Steganography and its analysis constitute an essential part of IT-Security. In this work we show how methods of blind-steganalysis can be improved to work in cover-aware scenarios, we will call this non-blind steganalysis.
Niklas Bunzel +2 more
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IEEE Access, 2020 Convolutional neural network-based methods are attracting increasing attention in steganalysis. However, steganalysis for content-adaptive image steganography in the spatial domain is still a difficult problem.
Zhili Xiang +5 more
doaj +1 more source
Steganalysis of transcoding steganography [PDF]
annals of telecommunications - annales des télécommunications, 2013 13 pages, 7 figures, 2 ...
Janicki, Artur +2 more
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Adversarial subdomain adaptation network for mismatched steganalysis
网络与信息安全学报, 2022 Once data in the training and test sets come from different cover sources, that is, under the condition of cover source mismatch, it usually makes the detection accuracy rate of an outstanding steganalysis model to be reduced.In practical applications ...
Lei ZHANG, Hongxia WANG
doaj +3 more sources
Secure Cover Selection for Steganography
IEEE Access, 2019 Existing cover selection methods for steganography cannot resist pooled steganalysis. This paper proposes a secure cover selection method which is able to resist pooled steganalysis and single object steganalysis meanwhile. To resist pooled steganalysis,
Zichi Wang, Xinpeng Zhang
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Steganalysis Bukti Digital pada Media Storage Menggunakan Metode GCFIM
JISKA (Jurnal Informatika Sunan Kalijaga), 2020 Steganography is an anti-forensic technique that allows a criminal to hide information in other messages, so that during an examination it will be difficult to obtain evidence of the crime information.
Muh Hajar Akbar +2 more
doaj +1 more source
Quantized Gaussian JPEG Steganography and Pool Steganalysis
IEEE Access, 2022 Currently, algorithms for compressed image steganography mainly embed hidden message by minimizing the resulting distortion or statistical detectability.
Mohammed Aloraini +2 more
doaj +1 more source
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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A multi-task learning CNN for image steganalysis [PDF]
, 2018 Convolutional neural network (CNN) based image steganalysis are increasingly popular because of their superiority in accuracy. The most straightforward way to employ CNN for image steganalysis is to learn a CNN-based classifier to distinguish whether ...
Li, Chang-Tsun +4 more
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A study on the false positive rate of Stegdetect [PDF]
, 2013 In this paper we analyse Stegdetect, one of the well-known image steganalysis tools, to study its false positive rate. In doing so, we process more than 40,000 images randomly downloaded from the Internet using Google images, together with 25,000 images ...
Benjamin Aziz +13 more
core +1 more source