Results 51 to 60 of about 142 (100)

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

A Heuristic Model for Supporting Users’ Decision‐Making in Privacy Disclosure for Recommendation

Security and Communication Networks, Volume 2018, Issue 1, 2018., 2018
Privacy issues have become a major concern in the web of resource sharing, and users often have difficulty managing their information disclosure in the context of high‐quality experiences from social media and Internet of Things. Recent studies have shown that users’ disclosure decisions may be influenced by heuristics from the crowds, leading to ...
Hongchen Wu, Huaxiang Zhang, Lizhen Cui, Xinjun Wang, Xuyun Zhang   +4 more
wiley   +1 more source

Coverless Image Steganography Method Based on Feature Selection

, 2019
A new information hiding technology named coverless information hiding is proposed. It uses original natural images as stego images to represent secret information.
Shuai Wang, Guo Wei, Anqi Qiu, Xianyi Chen, Xingming Sun   +4 more
core   +1 more source

VidaGAN: Adaptive GAN for image steganography

IET Image Processing, Volume 18, Issue 12, Page 3329-3342, 16 October 2024.
This study introduces a steganography framework named VarIable aDAptive GAN that utilizes deep learning techniques. It also introduces a novel method for embedding any type of binary data into images using generative adversarial networks, enabling us to enhance the visual appeal of images generated by the specified model.
Vida Yousefi Ramandi, Mansoor Fateh, Mohsen Rezvani   +2 more
wiley   +1 more source

An Adaptive Audio Steganography for Covert Wireless Communication

Security and Communication Networks, Volume 2018, Issue 1, 2018., 2018
In recent years, the wide applications of the wireless sensor networks have achieved great success. However, the security is a critical issue in many scenarios ranging from covert military operations to the organization of the social unrest. Because the traditional encrypting methods are easy to arouse suspicion, an adaptive audio steganography method ...
Guojiang Xin, Yuling Liu, Ting Yang, Yu Cao, Zhaoqing Pan   +4 more
wiley   +1 more source

AI‐generated video steganography based on semantic segmentation

IET Image Processing, Volume 18, Issue 11, Page 3042-3054, 18 September 2024.
This paper proposes an AI‐generated video steganography algorithm based on semantic segmentation and histogram embedding. The stego video generated in the scheme has strong robustness against various noise attacks and security for anti‐steganalysis.
Yangping Lin, Peng Luo, Zhuo Zhang, Jia Liu, Xiaoyuan Yang   +4 more
wiley   +1 more source

Hiding image into image with hybrid attention mechanism based on GANs

IET Image Processing, Volume 18, Issue 10, Page 2679-2689, 21 August 2024.
We introduce a novel network architecture for image steganography with hybrid attention mechanism based on generative adversarial network. Our model consists of three essential components: a generator, an extractor, and a discriminator. Specifically, we have designed a HAM to guide both the current hiding and extraction processes, aiming to improve the
Yuling Zhu, Yunyun Dong, Bingbing Song, Shaowen Yao   +3 more
wiley   +1 more source

A Big Data Text Coverless Information Hiding Based on Topic Distribution and TF-IDF

International Journal of Digital Crime and Forensics, 2021
Coverless information hiding has become a hot topic in recent years. The existing steganalysis tools are invalidated due to coverless steganography without any modification to the carrier. However, for the text coverless has relatively low hiding capacity, this paper proposed a big data text coverless information hiding method based on LDA (latent ...
Jiaohua Qin, Zhuo Zhou, Yun Tan, Xuyu Xiang, Zhibin He   +4 more
openaire   +2 more sources

SIHNet: A safe image hiding method with less information leaking

IET Image Processing, Volume 18, Issue 10, Page 2800-2815, 21 August 2024.
We propose a reversible secret image processing (SIP) module to make the secret images suitable for hiding and make the stego images leak less secret information. Besides, we use a reversible lost information hiding (LIH) module to hide the lost information into the cover images, thus our method can recover the secret images better than other methods ...
Zien Cheng, Xin Jin, Qian Jiang, Liwen Wu, Yunyun Dong, Wei Zhou   +5 more
wiley   +1 more source

A Robust Coverless Image Steganography Algorithm Based on Image Retrieval with SURF Features

Security and Communication Networks, Volume 2024, Issue 1, 2024.
With the advancement of image steganography, coverless image steganography has gained widespread attention due to its ability to hide information without modifying the carrier of images. However, existing coverless image steganography methods often require both communicating parties to transmit an amount of additional information including image blocks’
Fan Li, Chenyang Liu, Zhenbo Dong, Zhibo Sun, Weipeng Qian, Zahid Mehmood   +5 more
wiley   +1 more source