Results 71 to 80 of about 6,282 (220)
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
CoRR, 2017 7 pages, 4 figures, 3 tables, 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering, https://en.civilica.com/Paper-CBCONF01-CBCONF01_0107=Calibrated-Audio-Steganalysis ...
Hamzeh Ghasemzadeh +1 more
openaire +2 more sources
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
IET Image Processing, 2021 Steganography, a branch of data hiding techniques aims to hide confidential information within any digital media by obscuring the existence of hidden information. On the contrary, steganalysis aims to detect steganography.
Arivazhagan Selvaraj +3 more
doaj +1 more source
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
Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Steganalisis digunakan untuk mendeteksi ada atau tidaknya file steganografi. Salah satu kategori steganalisis adalah blind steganalisis, yaitu cara untuk mendeteksi file rahasia tanpa mengetahui metode steganografi apa yang digunakan.
Nurmi Hidayasari +2 more
doaj +1 more source
Cover-source mismatch in steganalysis: systematic review
EURASIP Journal on Information SecurityOperational steganalysis contends with a major problem referred to as the cover-source mismatch (CSM), which is essentially a difference in distribution caused by different parameters and settings over training and test data.
Antoine Mallet, M. Benes, Rémi Cogranne
semanticscholar +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
Video steganalysis scheme based on inter-frame collusion
Tongxin xuebao, 2009 An inter-frame collusion based video steganalysis scheme（ICS） was proposed by utilizing the temporal corre-lation among video frames to find out whether secret data was hidden in the frames or not.Motions existing in video se-quence decreased the ...
LIU Bin, LIU Fen-lin, YANG Chun-fang
doaj +2 more sources
On Security Notions for Steganalysis
, 2005 There have been some achievements in steganalysis recently. Many people have been making strides in steganalysis. They have approached steganalysis from different angles; from information theory to complexity theory. Anderson gave a possibility that there is a provable secure steganographic system, but there had not been complexity theoretical ...
Kisik Chang +5 more
openaire +3 more sources