Results 31 to 40 of about 3,326 (205)
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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Steganalysis in resized images [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 It is well known that the security of a given steganographic algorithm strongly depends on the statistical properties of the cover source. In this paper, we study how downsampling affects steganographic security. The secure payload no longer scales according to the square-root law because resizing changes the statistical properties of the cover source.
Jan Kodovsky, Jessica Fridrich
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A Novel Image Steganography Method via Deep Convolutional Generative Adversarial Networks
IEEE Access, 2018 The security of image steganography is an important basis for evaluating steganography algorithms. Steganography has recently made great progress in the long-term confrontation with steganalysis.
Donghui Hu +4 more
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Life expectancy has improved with new‐age technologies and advancements in the healthcare sector. Though artificial intelligence (AI) and the Internet of Things (IoT) are revolutionising smart healthcare systems, security of the healthcare data is always a concern.
Shaiju Panchikkil +4 more
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IET Image Processing, 2023 The steganalysis for JPEG image is an important research topic, as the enormous popularity of JPEG image on Internet. However, the stego noise feature extraction process of the existing deep learning‐based steganalytic methods are not adaptive enough to ...
Wentong Fan +4 more
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TESOL Quarterly, Volume 59, Issue 2, Page 874-906, June 2025.Abstract The purpose of this study is to analyze the grammatical complexity features of international teaching assistants' (ITAs) mock‐teaching presentations and to compare the distributions of these features to those found in the Oral English Proficiency Test (a local ITA assessment), university classroom teaching, conversation, and academic writing ...
Heesun Chang, Amin Raeisi‐Vanani
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Wavelet‐Based Texture Mining and Enhancement for Face Forgery Detection
IET Biometrics, Volume 2025, Issue 1, 2025.Due to the abuse of deep forgery technology, the research on forgery detection methods has become increasingly urgent. The corresponding relationship between the frequency spectrum information and the spatial clues, which is often neglected by current methods, could be conducive to a more accurate and generalized forgery detection.
Xin Li +4 more
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Research progress of color image steganalysis
网络与信息安全学报Traditional encrypted communication technologies have been easily detected and have struggled to meet the needs of secure communication. Steganography, capable of hiding information by modifying the carrier, has been utilized to realize covert ...
Meng XU, Xiangyang LUO, Jinwei WANG, Hao WANG
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Steganalysis of AMR Speech Based on Multiple Classifiers Combination
IEEE Access, 2019 In this paper, we focus on steganalysis in adaptive multi-rate (AMR) speech streams, whose goal is to detect covert communication behaviors effectively to prevent illegal uses of AMR steganography.
Hui Tian +4 more
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Audio steganalysis using multi‐scale feature fusion‐based attention neural network
IET Communications, Volume 19, Issue 1, January/December 2025.In this study, a new convolutional neural network for audio steganalysis, incorporating a multi‐scale feature fusion method and an attention mechanism, was devised to enhance the detection of steganographic content in audio signals encoded with G729a. The outcome has shown that using a multi‐scale convolution method can enhance feature information for ...
Jinghui Peng, Yi Liao, Shanyu Tang
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