Results 71 to 80 of about 4,115 (191)

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

Application of Steganography for Anonymity through the Internet [PDF]

, 2012
In this paper, a novel steganographic scheme based on chaotic iterations is proposed. This research work takes place into the information hiding security framework. The applications for anonymity and privacy through the Internet are regarded too.
Bahi, Jacques M., Couchot, Jean-François, Friot, Nicolas, Guyeux, Christophe   +3 more
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

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

Comprehensive survey on image steganalysis using deep learning

Array
Steganalysis, a field devoted to detecting concealed information in various forms of digital media, including text, images, audio, and video files, has evolved significantly over time.
Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Fengling Han   +2 more
doaj   +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

Integer wavelet transform‐based secret image sharing using rook polynomial and hamming code with authentication

CAAI Transactions on Intelligence Technology, Volume 9, Issue 6, Page 1435-1450, December 2024.
Abstract As an effective way to securely transfer secret images, secret image sharing (SIS) has been a noteworthy area of research. Basically in a SIS scheme, a secret image is shared via shadows and could be reconstructed by having the required number of them.
Sara Charoghchi, Zahra Saeidi, Samaneh Mashhadi   +2 more
wiley   +1 more source

RIHINNet: A robust image hiding method against JPEG compression based on invertible neural network

IET Image Processing, Volume 18, Issue 13, Page 3801-3814, 13 November 2024.
The loss function is designed to hide the secret image as much as possible in the area that will not change much after JPEG compression, which is helpful to improve the robustness of the model against JPEG compression. The current image‐hiding model fails to converge when it is trained robustly for all compression quality factors. Through the design of
Xin Jin, Chengyi Pan, Zien Cheng, Yunyun Dong, Qian Jiang   +4 more
wiley   +1 more source

Hiding image with inception transformer

IET Image Processing, Volume 18, Issue 13, Page 3961-3975, 13 November 2024.
In this article, we proposed a novel image steganography framework called HiiT, which takes advantage of CNN and Transformer to learn both the local and global pixel correlation in image hiding. Specifically, we propose a new Transformer structure called Inception Transformer, which incorporates the Inception Net in the attention‐based Transformer ...
Yunyun Dong, Ping Wei, Ruxin Wang, Bingbing Song, Tingchu Wei, Wei Zhou   +5 more
wiley   +1 more source