Results 41 to 50 of about 162 (119)

Reinforcement Learning for Robust Modulation Classification in Non‐Orthogonal Multiple Access (NOMA) Systems

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a reinforcement learning–based framework for robust modulation classification and resource management in non‐orthogonal multiple access (NOMA) systems. By integrating Q‐learning, deep reinforcement learning, and proximal policy optimisation, the approach enhances spectral efficiency, mitigates interference, and improves ...
Mohammed M. Alammar, Abdulrahman Al Ayidh, Muneer Parayangat, Mohamed Abd Elhamid Abbas   +3 more
wiley   +1 more source

ACTIC: A Large Language Model‐Based Method for Threat Intelligence Perception

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a study that introduces an automated method for constructing a threat intelligence knowledge graph construction method based on using large language models, named ACTIC. This approach utilises a locally deployed DeepSeek‐32B model and employs, combined with prompt engineering and Low‐Rank Adaptation (LoRA) fine‐tuning, to extract ...
Changcheng Liu, Changheng Yang, Jun Ma
wiley   +1 more source

Coverless Steganography for Digital Images Based on a Generative Model

, 2018
In this paper, we propose a novel coverless image steganographic scheme based on a generative model. In our scheme, the secret image is first fed to the generative model database, to generate a meaning-normal and independent image different from the ...
Haoxian Song, Chuan Qin, Muhammad Khurram Khan, Xintao Duan   +3 more
core   +1 more source

Generative steganography method based on auto-generation of contours

Tongxin xuebao, 2021
To address the problems of limited hiding capacity and inaccurate information extraction in the existing generative steganography methods, a novel generative steganography method was proposed based on auto-generation of contours, which consisted of two ...
Zhili ZHOU, Meimin WANG, Gaobo YANG, Jianyu ZHU, Xingming SUN   +4 more
doaj   +2 more sources

A Novel Image Steganography Method via Deep Convolutional Generative Adversarial Networks

IEEE Access, 2018
The security of image steganography is an important basis for evaluating steganography algorithms. Steganography has recently made great progress in the long-term confrontation with steganalysis.
Donghui Hu, Liang Wang, Wenjie Jiang, Shuli Zheng, Bin Li   +4 more
doaj   +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

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

CovertSYS: A systematic covert communication approach for providing secure end-to-end conversation via social networks

, 2022
While encryption can prevent unauthorized access to a secret message, it does not provide undetectability of covert communications over the public network.
Li, Qianmu (author), Kilger, Max (author), Choo, Kim Kwang Raymond, Conti, M., Zhu, Mark Xuefang (author), Ahvanooey, Milad Taleby, Ahvanooey, Milad Taleby (author), Zhu, Mark Xuefang, Choo, Kim Kwang Raymond (author), Li, Qianmu, Mazurczyk, Wojciech (author), Mazurczyk, Wojciech, Conti, M. (author), Kilger, Max   +13 more
core   +2 more sources

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