Results 51 to 60 of about 6,282 (220)

SNENet: An adaptive stego noise extraction network using parallel dilated convolution for JPEG image steganalysis

IET Image Processing, 2023
The steganalysis for JPEG image is an important research topic, as the enormous popularity of JPEG image on Internet. However, the stego noise feature extraction process of the existing deep learning‐based steganalytic methods are not adaptive enough to ...
Wentong Fan, Zhenyu Li, Hao Li, Yi Zhang, Xiangyang Luo   +4 more
doaj   +1 more source

From Blind to Quantitative Steganalysis [PDF]

IEEE Transactions on Information Forensics and Security, 2009
A quantitative steganalyzer is an estimator of the number of embedding changes introduced by a specific embedding operation. Since for most algorithms the number of embedding changes correlates with the message length, quantitative steganalyzers are important forensic tools.
Tomás Pevný, Jessica J. Fridrich, Andrew D. Ker   +2 more
openaire   +1 more source

Synthesis of Sustainable Chromium‐Based Nanoparticles With Fluorescence Tunable Ability for Biosensing of Tumor‐Derived Exosomes and Molecular Information Protection

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, Yu Qing Tian, Jiao Yang Lu, Tian Tian Fu, Hou Cheng Liang, Wei Tao Huang   +5 more
wiley   +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, Nazife Cevik, Ali Pasaoglu, Fatih Sahin, Farzad Kiani, Muhammet Sait Ag   +5 more
wiley   +1 more source

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
doaj   +1 more source

Steganalysis of AMR Speech Based on Multiple Classifiers Combination

IEEE Access, 2019
In this paper, we focus on steganalysis in adaptive multi-rate (AMR) speech streams, whose goal is to detect covert communication behaviors effectively to prevent illegal uses of AMR steganography.
Hui Tian, Jie Liu, Chin-Chen Chang, Chih-Cheng Chen, Yongfeng Huang   +4 more
doaj   +1 more source

A Novel Image Steganographic Method Based on Enhanced PIWT and Modified Optimal Pixel Adjustment Process

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel image steganographic method based on an enhanced Pyramid Integer Wavelet Transform (PIWT) combined with a Modified Optimal Pixel Adjustment Process (MOPAP). The PIWT enables integer‐to‐integer transformation, avoiding floating‐point computations and improving its suitability for efficient implementation.
Ali Yahya Al‐Ashwal, Waled Hussein Al‐Arashi, Mohammed Mohsen Alkhawlani   +2 more
wiley   +1 more source

Detecting Deepfakes Using Two‐Stream Framework Based on EfficientNet and Vision Transformer

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
The ever‐growing threat of deepfake technology has stimulated research in deepfake forensics to identify the genuineness of media materials on the Internet. The majority of existing techniques employ the convolutional neural network (CNN) framework to identify deepfake by capturing the image’s local features.
Qiang Yang, Yijun Cai, Rong Yan, Guangbin Zhang, Gongping Yang   +4 more
wiley   +1 more source

Color image steganalysis based on channel gradient correlation

International Journal of Distributed Sensor Networks, 2019
It is one of the potential threats to the Internet of Things to reveal confidential messages by color image steganography. The existing color image steganalysis algorithm based on channel geometric transformation measures owns higher accuracy than the ...
Yuhan Kang, Fenlin Liu, Chunfang Yang, Lingyun Xiang, Xiangyang Luo, Ping Wang   +5 more
doaj   +1 more source

A Dual‐Protection Framework for 3D Point Clouds: Robust Watermarking via RDWT‐SVD and High‐Capacity Steganography With Incremental Point Clouds

Modelling and Simulation in Engineering, Volume 2026, Issue 1, 2026.
3D point cloud models are being utilized more and more in computer vision, virtual reality, intelligent manufacturing, and cultural heritage preservation as a result of the quick advancements in computer graphics and 3D modeling technologies. Therefore, protecting the copyright and data integrity of 3D models has become an important issue.
Hui Wang, Ling Qin, Gaetano Sequenzia
wiley   +1 more source