Image steganalysis based on convolutional neural network and feature selection-Reference-Cited by-同舟云学术

Image steganalysis based on convolutional neural network and feature selection

Published:2019-08-04 Issue:5 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Sun Zhanquan¹²^ORCID,Li Feng³,Huang Huifen⁴,Wang Jian²

Affiliation:

1. Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, School of Optical‐Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Shanghai China

2. College of ScienceChina University of Petroleum Qingdao China

3. Department of History, College of Liberal ArtsShanghai University Shanghai China

4. Shandong Yingcai University Jinan China

Funder

National Youth Science Foundation

National Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5469

Reference26 articles.

1. MadhaviB DesaiS PatelV.Performance analysis of image steganalysis against message size message type and classification methods. Paper presented at: IEEE International Conference on Advances in Electronics Communication and Computer Technology;2016;Pune India.

2. BilalI RojMS KumarR MishraPK.Recent advancement in audio steganography. Paper presented at: International Conference on Parallel Distributed and Grid Computing;2014;Solan India

3. Steganography in Modern Smartphones and Mitigation Techniques

4. Closure of sets: a statistically hypersensitive system for steganalysis of least significant bit embedding

5. Applications of Explicit Non-Linear Feature Maps in Steganalysis

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