Enabling unmanned aerial vehicle borne secure communication with classification framework for industry 5.0

DK Jain, Y Li, MJ Er, Q Xin, D Gupta… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The fifth industrial revolution (Industry 5.0) integrates humans and machines to satisfy the
increasing customization demands of the manufacturing complexity using an optimized …

An image steganography scheme based on ResNet

L Liu, L Meng, X Wang, Y Peng - Multimedia Tools and Applications, 2022 - Springer
In recent years, deep learning has been used in steganography scheme, and the
implemented solution had a large hidden capacity. In order to further study the effect of basic …

[HTML][HTML] Comparative performance assessment of deep learning based image steganography techniques

V Himthani, VS Dhaka, M Kaur, G Rani, M Oza… - Scientific Reports, 2022 - nature.com
Increasing data infringement while transmission and storage have become an apprehension
for the data owners. Even the digital images transmitted over the network or stored at servers …

Adversarial feature hybrid framework for steganography with shifted window local loss

Z Li, X Yang, K Shen, F Jiang, J Jiang, H Ren, Y Li - Neural Networks, 2023 - Elsevier
Image steganography is a long-standing image security problem that aims at hiding
information in cover images. In recent years, the application of deep learning to …

[HTML][HTML] Imperceptible image steganography using symmetry-adapted deep learning techniques

A Khalifa, A Guzman - Symmetry, 2022 - mdpi.com
Digital image steganography is the process of embedding information within a cover image
in a secure, imperceptible, and recoverable way. This research extends a symmetry-adapted …

Dual branch parallel steganographic framework based on multi-scale distillation in framelet domain

Z Li, X Yang, K Shen, F Jiang, J Jiang, H Ren, Y Li - Neurocomputing, 2022 - Elsevier
The intuition behind image steganography is to hide secret image into cover image, thereby
analysis and retrieval are avoided. Image steganography methods based on deep learning …

A Larger Capacity Data Hiding Scheme Based on DNN

L Liu, L Meng, W Zheng, Y Peng… - … and Mobile Computing, 2022 - Wiley Online Library
With the in‐depth research in data hiding technology, the latest data hiding schemes using
deep neural network (DNN) could hide the full‐size color image into the same size color …

[HTML][HTML] Rate-distortion-based stego: A large-capacity secure steganography scheme for hiding digital images

YL Pan, JL Wu - Entropy, 2022 - mdpi.com
Steganography is one of the most crucial methods for information hiding, which embeds
secret data on an ordinary file or a cover message for avoiding detection. We designed a …

Generative adversarial network-based deep learning technique for smart grid data security

V Himthani, V Prakash - Artificial Intelligence and Machine Learning in …, 2023 - Elsevier
The smart grid (SG) is an intelligent electricity grid that implements evolving information and
communication infrastructure for controlling power generation, transmission, distribution …

[HTML][HTML] Deceptive techniques to hide a compressed video stream for information security

J Heo, J Jeong - Sensors, 2021 - mdpi.com
With the recent development of video compression methods, video transmission on
traditional devices and video distribution using networks has increased in various devices …