Results 11 to 20 of about 8,564 (282)

High-Capacity Image Steganography Based on Improved Xception

Sensors, 2020
The traditional cover modification steganography method only has low steganography ability. We propose a steganography method based on the convolutional neural network architecture (Xception) of deep separable convolutional layers in order to solve this ...
Xintao Duan, Mengxiao Gou, Nao Liu, Wenxin Wang, Chuan Qin   +4 more
doaj   +1 more source

JPEG steganography with particle swarm optimization accelerated by AVX [PDF]

, 2020
Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography.
Bramas B, Clerc M, Cox I, Jongen HT, Katzenbeisser S, Price KV, Raggo M, Wayner P   +7 more
core   +1 more source

Multilayer Detection of Network Steganography [PDF]

Electronics, 2020
This paper presents a new method for steganography detection in network protocols. The method is based on a multilayer approach for the selective analysis of derived and aggregated metrics utilizing machine learning algorithms. The main objective is to provide steganalysis capability for networks with large numbers of devices and connections.
Milosz Smolarczyk, Krzysztof Szczypiorski, Jakub Pawluk   +2 more
openaire   +1 more source

SteganoCNN: Image Steganography with Generalization Ability Based on Convolutional Neural Network

Entropy, 2020
Image-to-image steganography is hiding one image in another image. However, hiding two secret images into one carrier image is a challenge today. The application of image steganography based on deep learning in real-life is relatively rare. In this paper,
Xintao Duan, Nao Liu, Mengxiao Gou, Wenxin Wang, Chuan Qin   +4 more
doaj   +1 more source

Recent Advances of Image Steganography With Generative Adversarial Networks

IEEE Access, 2020
In the past few years, the Generative Adversarial Network (GAN), which proposed in 2014, has achieved great success. There have been increasing research achievements based on GAN in the field of computer vision and natural language processing.
Jia Liu, Yan Ke, Zhuo Zhang, Yu Lei, Jun Li, Minqing Zhang, Xiaoyuan Yang   +6 more
doaj   +1 more source

Image Steganography: A Review of the Recent Advances

IEEE Access, 2021
Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes.
Nandhini Subramanian, Omar Elharrouss, Somaya Al-Maadeed, Ahmed Bouridane   +3 more
doaj   +1 more source

Principles and overview of network steganography [PDF]

IEEE Communications Magazine, 2014
7 pages, 3 ...
Lubacz, Jozef, Mazurczyk, Wojciech, Szczypiorski, Krzysztof   +2 more
openaire   +2 more sources

Invisible steganography via generative adversarial networks [PDF]

Multimedia Tools and Applications, 2018
13 pages, 7 ...
Zhang, Ru, Dong, Shiqi, Liu, Jianyi
openaire   +2 more sources

IAS-CNN: Image adaptive steganalysis via convolutional neural network combined with selection channel

International Journal of Distributed Sensor Networks, 2020
Steganography is conducive to communication security, but the abuse of steganography brings many potential dangers. And then, steganalysis plays an important role in preventing the abuse of steganography.
Zhujun Jin, Yu Yang, Yuling Chen, Yuwei Chen   +3 more
doaj   +1 more source

A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks

Sensors, 2022
The Internet has become the main channel of information communication, which contains a large amount of secret information. Although network communication provides a convenient channel for human communication, there is also a risk of information leakage.
Kangyi Ding, Teng Hu, Weina Niu, Xiaolei Liu, Junpeng He, Mingyong Yin, Xiaosong Zhang   +6 more
doaj   +1 more source