Results 41 to 50 of about 217 (88)

Comparative Performance Analysis Of Deep Learning-Based Image Steganography Using U-Net, V-Net, And U-Net++ Encoders [PDF]

Digital Imaging steganography is the act of hiding information in a cover picture in a way that can't be found or recovered. Three main types of methods are used in digital image steganography: neural network methods, spatial methods, and transform ...
Dr. Varsha Jotwani, Sapna Kaneria
core   +2 more sources

Coverless Image Steganography Based on Jigsaw Puzzle Image Generation

Computers, Materials & Continua, 2021
Al Hussien Seddik Saad, M. S. Mohamed, E. H. Hafez   +2 more
openaire   +1 more source

A secure cooperative image super-resolution transmission with decode-and-forward relaying over Rayleigh fading channels [PDF]

In addition to susceptibility to performance degradation due to hardware malfunctions and environmental influences, wireless image transmission poses risks of information exposure to eavesdroppers.
Duong, H.-T., Duong, H.-T., Phan, C.V., Phan, C.V., Vien, Q.-T., Vien, Q.-T.   +5 more
core   +1 more source

Coverless Image Steganography Based on Image Segmentation

Computers, Materials & Continua, 2020
YuanJing Luo, Jiaohua Qin, Xuyu Xiang, Yun Tan, Zhibin He, Neal N. Xiong   +5 more
openaire   +1 more source

A GLCM-Feature-Based Approach for Reversible Image Transformation [PDF]

Recently, a reversible image transformation (RIT) technology that transforms a secret image to a freely-selected target image is proposed. It not only can generate a stego-image that looks similar to the target image, but also can recover the secret ...
Haidong Zhong, Xianyi Chen, Zhifeng Bao
core   +2 more sources

Diffusion-Based Hierarchical Image Steganography

This paper introduces Hierarchical Image Steganography, a novel method that enhances the security and capacity of embedding multiple images into a single container using diffusion models.
Meng, Xiandong, Mou, Chong, Xu, Youmin, Yu, Jiwen, Zhang, Jian, Zhang, Xuanyu   +5 more
core  

COVERLESS IMAGE STEGANOGRAPHY USING DEEP IMAGE SEMANTICS AND ROBUST HASHING

International Journal of Applied Mathematics
With the rapid growth of digital communication, ensuring that data is transmitted securely, imperceptible, and without any form of interference is now crucial. Due to the vulnerability of traditional steganographic techniques that involve pixel-level modification, they are increasingly vulnerable to steranalysis attacks and statistical weaknesses as ...
openaire   +1 more source

Deep Learning-Based Coverless Image Steganography on Medical Images Shared via Cloud

RAiSE-2023
Coverless image steganography is an approach for creating images with intrinsic colour and texture information that contain hidden secret information. Recently, generative adversarial networks’ (GANs) deep learning transformers have been used to generate secret hidden images.
null Ambika, null Virupakshappa, Deepak S. Uplaonkar   +2 more
openaire   +2 more sources

StyleGAN2-Stego: Secure Coverless Image Steganography via Latent Space Encoding

East Journal of Computer Science
Coverless image steganography (CIS) enhances secrecy by avoiding direct modifications to existing images, unlike traditional methods that embed data by altering image content. However, many existing approaches struggle to balance payload capacity, visual quality, and resistance to steganalysis.
Ari Ibrahim Hamid, Wafaa Mustafa Abduallah   +1 more
openaire   +1 more source

Deep Learning for Real-time Information Hiding and Forensics [PDF]

, 2020
C. Kim, C. Yang, S. Cimato, Z. Zhou
core