Results 61 to 70 of about 4,115 (191)
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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, 2015 Network steganography conceals the transfer of sensitive information within unobtrusive data in computer networks. So-called micro protocols are communication protocols placed within the payload of a network steganographic transfer.
Keller, Jörg +3 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
wiley +1 more source
Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks
, 2017 Due to the wide diffusion of JPEG coding standard, the image forensic community has devoted significant attention to the development of double JPEG (DJPEG) compression detectors through the years.
Barni, Mauro +7 more
core +1 more source
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
wiley +1 more source
Steganalytic Methods for the Detection of Histogram Shifting Data Hiding Schemes [PDF]
, 2012 Peer-reviewedIn this paper, several steganalytic techniques designed to detect the existence of hidden messages using histogram shifting schemes are presented.
Lerch Hostalot, Daniel +1 more
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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
An Improved Near‐Reversible Technique With Residual Networks
IET Image Processing, Volume 19, Issue 1, January/December 2025.The study compares three cover‐image extraction subnetworks with varying residual depths, combining convolutional neural networks (CNNs) and Residual Networks (ResNets) to improve cover‐image reconstruction quality, ensuring high‐fidelity, nearly reversible reconstruction.
Tran Thi Ngoc Tin, Yih‐Chuan Lin
wiley +1 more source
A Low Cost Image Steganalysis by Using Domain Adaptation
International Journal of Information Science and Management, 2018 Information hiding and data encryption are used widely to protect data and information from anonymous access. In digital world, hiding and encrypting of the desired data into an image is a smart way to protect information with a low cost.
Mohammd Bagher Dastgheib +2 more
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