Results 21 to 30 of about 6,079 (176)
Steganalysis of Adaptive Multi-Rate Speech Using Statistical Characteristics of Pitch Delay [PDF]
Journal of Universal Computer Science, 2019 Steganography is a promising technique for covert communications. However, illegal United States of Americage of this technique would facilitate cybercrime activities and thereby pose a great threat to information security.
Hui Tian +5 more
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Digital Image Steganalysis Based on Visual Attention and Deep Reinforcement Learning
IEEE Access, 2019 Recently, the adaptive steganography methods have been developed to embed secret information with the minimal distortion of images. As the opposite art, steganalysis methods, especially some convolutional neural network-based steganalysis methods, have ...
Donghui Hu +5 more
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Sensitivity of deep learning applied to spatial image steganalysis [PDF]
PeerJ Computer Science, 2021 In recent years, the traditional approach to spatial image steganalysis has shifted to deep learning (DL) techniques, which have improved the detection accuracy while combining feature extraction and classification in a single model, usually a ...
Reinel Tabares-Soto +8 more
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About JPEG Images Parameters Impact to Steganalys Accuracy
Кібернетика та комп'ютерні технології, 2021 Introduction. Existing examples of illegal use of computer steganography prove the need for the development of stegananalytical methods and systems as one of the most important areas of cybersecurity.
N. Koshkina
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Code wars: steganography, signals intelligence, and terrorism [PDF]
, 2003 This paper describes and discusses the process of secret communication known as steganography. The argument advanced here is that terrorists are unlikely to be employing digital steganography to facilitate secret intra-group communication as has been ...
Alex P. Schmid +11 more
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Spatial Steganalysis Based on Non-Local Block and Multi-Channel Convolutional Networks
IEEE Access, 2022 Image steganalysis aims to detect whether secret information is hidden in images and is a means to solve the communication security. Recently, a series of convolutional neural network-based steganalysis models has been proposed and has achieved ...
Xu Han, Tao Zhang
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International Journal of Distributed Sensor Networks, 2020 Steganography is conducive to communication security, but the abuse of steganography brings many potential dangers. And then, steganalysis plays an important role in preventing the abuse of steganography.
Zhujun Jin +3 more
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Steganalysis Using Wavelet Transform
Journal of Kufa for Mathematics and Computer, 2012 Techniques and applications for information hiding have become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting the presence of hidden messages has also become considerably more difficult. It is sometimes possible, nevertheless, to detect (but not necessarily decipher) the presence of embedded ...
Waleed . A Mahmud +2 more
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Preprocessing Enhancement Method for Spatial Domain Steganalysis
Mathematics, 2022 In the field of steganalysis, in recent years, the research focus has mostly been on optimizing the structures of neural networks, while the application of high-pass filters is still limited to the simple selection of filters and simple adjustment of the
Xueming Duan +3 more
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Deep Convolutional Neural Network to Detect J-UNIWARD
, 2017 This paper presents an empirical study on applying convolutional neural networks (CNNs) to detecting J-UNIWARD, one of the most secure JPEG steganographic method.
Ioffe Sergey +3 more
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