TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis |
| 영문제목(English Title) |
A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis |
| 저자(Author) |
Israr Hussain
Jishen Zeng
Xinhong
Shunquan Tan
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| 원문수록처(Citation) |
VOL 14 NO. 03 PP. 1228 ~ 1248 (2020. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Steganalysis & steganography have witnessed immense progress over the past few years by the advancement of deep convolutional neural networks (DCNN). In this paper, we analyzed current research states from the latest image steganography and steganalysis frameworks based on deep learning. Our objective is to provide for future researchers the work being done on deep learning-based image steganography & steganalysis and highlights the strengths and weakness of existing up-to-date techniques. The result of this study opens new approaches for upcoming research and may serve as source of hypothesis for further significant research on deep learning-based image steganography and steganalysis. Finally, technical challenges of current methods and several promising directions on deep learning steganography and steganalysis are suggested to illustrate how these challenges can be transferred into prolific future research avenues.
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| 키워드(Keyword) |
Steganalysis
Steganography
Deep learning
Convolutional Neural Network
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| 파일첨부 |
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