GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

Advances in Deep Learning (DL) have provided alternative approaches to various complex problems, including the domain of spatial image steganalysis using Convolutional Neural Networks (CNN). Several CNN architectures have been developed in recent years, which have improved the detection accuracy of...

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Bibliographic Details
Main Authors: Tabares-Soto Reinel, Arteaga-Arteaga Harold Brayan, Bravo-Ortiz Mario Alejandro, Mora-Rubio Alejandro, Arias-Garzon Daniel, Alzate-Grisales Jesus Alejandro, Burbano-Jacome Alejandro Buenaventura, Orozco-Arias Simon, Isaza Gustavo, Ramos-Pollan Raul
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
GBRAS-Net
steganalysis
steganography
Online Access:https://ieeexplore.ieee.org/document/9328287/

Internet

https://ieeexplore.ieee.org/document/9328287/

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