Results 31 to 40 of about 15,548,285 (87)

A Coverless Plain Text Steganography Based on Character Features

IEEE Access, 2019
The coverless text steganography has become a research hotspot in the field of information hiding because no modification to a text carrier will improve the concealment of steganography. However, compared with images, audios, videos, or other carriers, a
Kaixi Wang, Quansheng Gao
doaj   +1 more source

IMPROVED COVERLESS INFORMATION HIDING UTILIZING GENERATIVE MODELS

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
The submitted algorithm increased data-hiding capacity, extended capability, and improved quality of the reconstructed secret image as compared with traditional steganography and existing coverless information-hiding methods.
Zainab Hdeib Al-Shably
doaj   +1 more source

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

An Electronic Lattice Construction Method Based on Game Padding

IEEE Access, 2019
The concealment, the steganography success rate, and the steganographic capacity are key performance indicators to text steganography. The existing text steganography methods still have a low steganographic capacity, some syntactic or semantic ambiguity ...
Congfei Sun, Kaixi Wang
doaj   +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

Deep Learning–Based Image Steganography for Signal Processing and Communication Systems: A Survey of Architectures, Lossy‐Channel Robustness, and Evaluation Practices

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Image steganography is a signal‐processing and communication‐system problem as much as a security problem: A hidden signal must be embedded, transmitted, and recovered through visual channels while preserving image fidelity and limiting statistically detectable distortion.
Ngoc-Giau Pham, Phuoc-Hung Vo, Hong-Ngoc Tran, Pramita Mishra   +3 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

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

Gene Tagging and the Data Hiding Rate [PDF]

, 2012
23nd IET Irish Signals and Systems Conference, Maynooth, Ireland, 28-29th June, 2012We analyze the maximum number of ways in which one can intrinsically tag a very particular kind of digital asset: a gene, which is just a DNA sequence that encodes a ...
Balado, Félix, Haughton, David
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