CNN-Based Ternary Classification for Image Steganalysis

CNN-Based Ternary Classification for Image Steganalysis

This study proposes a convolutional neural network (CNN)-based steganalytic method that allows ternary classification to simultaneously identify WOW and UNIWARD, which are representative adaptive image steganographic algorithms. WOW and UNIWARD have very similar message embedding methods in terms of...

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Bibliographic Details
Main Authors: Sanghoon Kang, Hanhoon Park, Jong-Il Park
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Electronics
Subjects:
image steganalysis
wow
uniward
ternary classification
convolutional neural network (cnn)
Online Access:https://www.mdpi.com/2079-9292/8/11/1225

Internet

https://www.mdpi.com/2079-9292/8/11/1225

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