Reversible image hiding algorithm based on compressive sensing and deep learning

G Ye, M Liu, WS Yap, BM Goi - Nonlinear Dynamics, 2023 - Springer
Compressive sensing (CS) can realize compression and encryption simultaneously.
However, the current sampling-reconstruction algorithms based on CS are time-consuming …

AFcIHNet: Attention feature-constrained network for single image information hiding

X Jia, H Xin, L Gu, H Wang, J Sun, W Wan - Engineering Applications of …, 2023 - Elsevier
Single image information hiding aims to obtain a stegano image by hiding a secret image
within a cover image. Recently, deep neural network (DNN) based information hiding …

A survey on Deep-Learning-based image steganography

B Song, P Wei, S Wu, Y Lin, W Zhou - Expert Systems with Applications, 2024 - Elsevier
With the development of Internet and multimedia development, digital image steganography
is becoming more extensive in transmitting data with high capacity and security. Although …

Steganography with high reconstruction robustness: hiding of encrypted secret images

X Zhu, Z Lai, N Zhou, J Wu - Mathematics, 2022 - mdpi.com
As one of the important methods to protect information security, steganography can ensure
the security of data in the process of information transmission, which has attracted much …

DUIANet: A double layer U-Net image hiding method based on improved Inception module and attention mechanism

X Duan, G Wu, C Li, Z Li, C Qin - Journal of Visual Communication and …, 2024 - Elsevier
Image hiding is the process of hiding secret image into cover image, and revealing secret
image from steganographic image. However, the quality of generated images and the ability …

A Fast and Low Distortion Image Steganography Framework Based on Nature-Inspired Optimizers

MM Fadel, W Said, EAA Hagras, R Arnous - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, secret information is susceptible to numerous hacks while being shared through
traditional correspondence channels. Unlike other methods of securing data, steganography …

Generative focused feedback residual networks for image steganalysis and hidden information reconstruction

Z Lai, X Zhu, J Wu - Applied Soft Computing, 2022 - Elsevier
Image steganalysis is the process of detecting the presence of hidden information in an
image. Existing image steganalysis methods cannot fully extract hidden image information …

IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networks

MA Hameed, M Hassaballah, T Qiao - Multimedia Systems, 2024 - Springer
The exchange of information through social networking sites has become a major risk due to
the possibility of obtaining millions of subscribers' data at any time without the right …

Novel data encryption scheme and its application to secure multi-party communication

J Wu, G Long, C Wang, J Wu - Physica Scripta, 2024 - iopscience.iop.org
Recent advances in cellular mobile telecommunication field have dramatically facilitated the
multi-party collaborative work in social networks. However, the privacy issues exposed by …

MSIHNet: A Multi-size Image Hiding Method That Can Hide A Large-Size Image into A Small-Size Image

Z Cheng, Q Jiang, Y He, D He… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Image hiding is a task of hiding one image into another without being detected. Current
image hiding methods can only achieve the same size hiding, but in real life we may …