Results 31 to 40 of about 278 (129)
A Robust joint coverless image steganography scheme based on two independent modules
CybersecurityWith the development of deep learning technology, great progress has been made in the field of coverless steganography based on deep learning technology, including some selection-based steganography methods that use deep learning technology and all ...
Chang Ren, Bin Wu
doaj +1 more source
Steganography Using Reversible Texture Synthesis Based on Seeded Region Growing and LSB [PDF]
Steganography technology has been widely used in data transmission with secret information. However, the existing steganography has the disadvantages of low hidden information capacity, poor visual effect of cover images, and is hard to guarantee ...
Jianfeng Lu +6 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
Coverless Information Hiding Based on the Molecular Structure Images of Material [PDF]
The traditional information hiding methods embed the secret information by modifying the carrier, which will inevitably leave traces of modification on the carrier. In this way, it is hard to resist the detection of steganalysis algorithm.
Chongzhi Gao +3 more
core +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
Coverless Steganography for Face Recognition Based on Diffusion Model
IEEE AccessAs a highly recognizable biometric face recognition technology, it has been widely used in many identity verification systems. In order to enhance the protection of personal privacy and ensure the safe transmission and sharing of sensitive information ...
Yuan Guo, Ziqi Liu
doaj +1 more source
A Survey of Image Information Hiding Algorithms Based on Deep Learning [PDF]
With the development of data science and technology, information security has been further concerned. In order to solve privacy problems such as personal privacy being peeped and copyright being infringed, information hiding algorithms has been developed.
Chengsheng Yuan, Qi Cui, Ruohan Meng
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 +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