Results 41 to 50 of about 2,919 (122)

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

Extensible Steganalysis via Continual Learning

, 2022
To realize secure communication, steganography is usually implemented by embedding secret information into an image selected from a natural image dataset, in which the fractal images have occupied a considerable proportion.
Zihao Yin, Meng, Ruohan, Zhou, Zhili, Yin, Zihao, Zhili Zhou, Ruohan Meng, Fei Peng, Peng, Fei   +7 more
core   +1 more source

A conceptual framework for natural language steganalysis [PDF]

, 2011
In order to have a viable steganalysis method, a steganalysis framework should be developed for natural language. Thus, this paper proposes a new definition of the steganalysis view in order to detect the hidden text used on natural language.This ...
Samsudin, Azman, Din, Roshidi
core   +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

Derivative-based audio steganalysis

, 2011
This article presents a second-order derivative-based audio steganalysis. First, Mel-cepstrum coefficients and Markov transition features from the second-order derivative of the audio signal are extracted; a support vector machine is then applied to the ...
Andrew H. Sung, Qingzhong Liu, Mengyu Qiao   +2 more
core   +1 more source

Blind Steganalysis of Mp3stego

J. Inf. Sci. Eng., 2010
In this paper we present a steganalytic attack against mp3stego, a publicly available open-source steganographic tool which uses mp3 audio files as the stego medium to embed hidden information. We first identify through extensive statistical experimentation which parameters of the medium suffer a significant deviation from normality, then we construct ...
Hernandez-Castro, Julio, Estevez-Tapiador, J., Palomar, E., Romero-Gonzalex, A.   +3 more
openaire   +3 more sources

Binary image steganographic techniques classification based on multi-class steganalysis

, 2010
In this paper, we propose a new multi-class steganalysis for binary image. The proposed method can identify the type of steganographic technique used by examining on the given binary image.
Kang Leng Chiew, Josef Pieprzyk, Chiew, Kang Leng, Pieprzyk, Josef   +3 more
core   +1 more source