Results 91 to 100 of about 6,801,187 (249)

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

LGS‐Net: A lightweight convolutional neural network based on global feature capture for spatial image steganalysis

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, Jian Wang, Xinyu Zhang, Guifang Wang, Xianwei Xin, Qianqian Zhang   +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

Tamper Localisation Using Quantum Fourier Transform Signatures for Medical Image Authentication

IET Quantum Communication, Volume 6, Issue 1, January/December 2025.
We present a tamper‐localisation framework that embeds authentication signatures as phase‐only perturbations in blockwise QFT coefficients using keyed sparse mid‐band supports and light cross‐block coupling, preserving magnitudes (energy) and imperceptibility.
Kumar Sekhar Roy, Shweta Singh, Ruhul Amin Hazarika, Sk Mahmudul Hassan, Himanshu Ranjan Das   +4 more
wiley   +1 more source

JPEG Image Steganography With Automatic Embedding Cost Learning

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
A great challenge to steganography has arisen with the wide application of steganalysis methods based on convolutional neural networks (CNNs). To this end, embedding cost learning frameworks based on generative adversarial networks (GANs) has been proposed and achieved success for spatial image steganography.
Jianhua Yang, Yi Liao, Fei Shang, Xiangui Kang, Yifang Chen, Yun-Qing Shi, Hongyang Yan   +6 more
wiley   +1 more source

Histogram preserving QIM-based watermarking [PDF]

, 2012
Quantisation-based watermarking schemes are known to be strongly robust to noise and widely applied for image authentication. However, such schemes tend to create specific patterns in the histogram of the watermarked image, thus opening security gap for ...
Li, Yue, Li, Chang-Tsun
core  

Pooled Steganalysis via Model Discrepancy

Mathematics
Pooled steganalysis aims to discover the guilty actor(s) among multiple normal actor(s). Existing techniques mainly rely on the high-dimension and time-consuming features.
Jiang Yu, Jing Zhang, Fengyong Li
doaj   +1 more source

Leveraging High‐Dimensional Mapping for Effective JPEG Steganalysis

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Steganography is a critical information‐hiding technique widely used for the covert transmission of secret information on social media. In contrast, steganalysis plays a key role in ensuring information security. Although various effective steganalysis algorithms have been proposed, existing studies typically treat color images as three independent ...
Meng Xu, Xiangyang Luo, Beijing Chen
wiley   +1 more source

Steganography Defense Network Based on Simulation of Steganography Information Distribution

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
In order to block the spread of illegal stego‐image and reduce the erasing traces of steganography attacks on images, this paper proposes a steganography attack network based on simulation of steganography information distribution. First, a strategy of simulating steganography noise was adopted, and the distribution of steganography noise was learned ...
Jinjin Liu, Sa Xue, Xinyu Zhang, Fengyuan Xiang, Yuanyuan Ma, Richard Murray   +5 more
wiley   +1 more source

JPEG image steganalysis utilizing both intrablock and interblock correlations

, 2008
JPEG image steganalysis has attracted increasing attention recently. In this paper, we present an effective Markov process (MP) based JPEG steganalysis scheme, which utilizes both the intrablock and interblock correlations among JPEG coefficients.
Chen, Chunhua, Chunhua Chen, Yun Q. Shi, Shi, Yun Q.   +3 more
core   +1 more source