Results 41 to 50 of about 4,115 (191)
Convolutional Neural Network Steganalysis's Application to Steganography
, 2017 This paper presents a novel approach to increase the performance bounds of image steganography under the criteria of minimizing distortion. The proposed approach utilizes a steganalysis convolutional neural network (CNN) framework to understand an image ...
Agarwal, Chirag +3 more
core +1 more source
Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images
Mathematics, 2022 As one of the important methods to protect information security, steganography can ensure the security of data in the process of information transmission, which has attracted much attention in the information security community.
Xishun Zhu +3 more
doaj +1 more source
Universal Image Steganalytic Method [PDF]
, 2014 In the paper we introduce a new universal steganalytic method in JPEG file format that is detecting well-known and also newly developed steganographic methods.
Banoci, V. +3 more
core +1 more source
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
core +1 more source
SusMat, Volume 6, Issue 1, February 2026.The study uses rapidly prepared Cr NPs with controllable fluorescence, enabling co‐regulation of quenching and enhancement for dyes and DNA of differing structures. By assembling a CD63‐specific aptamer with Cr NPs, it creates a quantitative readout for CD63‐positive TDEs.
Meng Yao Wu +5 more
wiley +1 more source
Unsupervised Steganalysis Based on Artificial Training Sets
, 2016 In this paper, an unsupervised steganalysis method that combines artificial training setsand supervised classification is proposed. We provide a formal framework for unsupervisedclassification of stego and cover images in the typical situation of ...
Lerch-Hostalot, Daniel, Megías, David
core +1 more source
, 2014 ‘Steganalysis’ is one of the challenging and attractive interests for the researchers with the development of information hiding techniques. It is the procedure to detect the hidden information from the stego created by known steganographic algorithm. In this paper, a novel feature based image steganalysis technique is proposed.
Indradip Banerjee +2 more
openaire +1 more source
AGFP: A Deep Attention‐Guided Framework for DWT‐Based Image Steganography
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper introduces Attention‐Guided Feature Perturbation (AGFP), a novel framework that combines deep learning‐based attention mechanisms with Discrete Wavelet Transform (DWT) embedding for image steganography. By selectively embedding data in perceptually and statistically safe regions, AGFP achieves high imperceptibility, robustness against ...
Taner Cevik +5 more
wiley +1 more source
Digital image steganography and steganalysis: A journey of the past three decades
Open Computer Science, 2020 Steganography is the science and art of covert communication. Conversely, steganalysis is the study of uncovering the steganographic process. The evolution of steganography has been paralleled by the development of steganalysis.
Sahu Aditya Kumar, Sahu Monalisa
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Coverless Image Steganography Based on Generative Adversarial Network
Mathematics, 2020 Traditional image steganography needs to modify or be embedded into the cover image for transmitting secret messages. However, the distortion of the cover image can be easily detected by steganalysis tools which lead the leakage of the secret message. So
Jiaohua Qin +5 more
doaj +1 more source