Results 41 to 50 of about 11,109 (93)
Coverless Steganography for Digital Images Based on a Generative Model [PDF]
, 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 +3 more
core +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
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 +3 more
wiley +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 +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 +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 +4 more
wiley +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 +2 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 +4 more
wiley +1 more source
Product Perfect Codes and Steganography [PDF]
, 2009 A new coding technique to be used in steganography is evaluated. The performance of this new technique is computed and comparisons with the well-known theoretical upper bound, Hamming upper bound and basic LSB are ...
Rifà Pous, Helena, Rifà Coma, Josep
core