DRHNet: A Deep Residual Network Based on Heterogeneous Kernel for Steganalysis
Joint Authors
Xu, Yang
Fu, Zixi
Xu, Guiyong
Zhang, Sicong
Xie, Xiaoyao
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Convolutional neural networks as steganalysis have problems such as poor versatility, long training time, and limited image size.
For these problems, we present a heterogeneous kernel residual learning framework called DRHNet—Dual Residual Heterogeneous Network—to save time on the networks during the training phase.
Instead of using the image as an input of the network, we extract and merge the images into a feature matrix using the rich model and use the generated feature matrix as the real input of the network.
The architecture we proposed has good versatility and can reduce the computation and the number of parameters while still getting higher accuracy.
On BOSSbase 1.01, we evaluate the performance of DRHNet in the setting of the spatial domain and frequency domain.
The preliminary experimental results show that DRHNet shows excellent steganalysis performance against the state-of-the-art steganographic algorithms.
American Psychological Association (APA)
Xu, Yang& Fu, Zixi& Xu, Guiyong& Zhang, Sicong& Xie, Xiaoyao. 2020. DRHNet: A Deep Residual Network Based on Heterogeneous Kernel for Steganalysis. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1208717
Modern Language Association (MLA)
Xu, Yang…[et al.]. DRHNet: A Deep Residual Network Based on Heterogeneous Kernel for Steganalysis. Security and Communication Networks No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1208717
American Medical Association (AMA)
Xu, Yang& Fu, Zixi& Xu, Guiyong& Zhang, Sicong& Xie, Xiaoyao. DRHNet: A Deep Residual Network Based on Heterogeneous Kernel for Steganalysis. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1208717
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208717