Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

<Previous Article In Volume
Next Article In Volume>

Image Steganalysis Method Based On Improved Smote And Focal Loss Algorithm

Authors
Haotian Zhao1, 2, Ke Niu1, 2, *, Zhiqiang Ning1, 2, Xiaozhong Pan2
1Key Laboratory of Network & Information Security Under the PAP, Xi’an, China
2College of Cryptographic Engineering, Engineering University of PAP, Xi’an, China
*Corresponding author. Email: niuke@163.com
Corresponding Author
Ke Niu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_66How to use a DOI?
Keywords
Image steganalysis; Unbalanced sample; Oversampling; SMOTE algorithm; Focal loss algorithm
Abstract

Aiming at the performance degradation of steganalysis model caused by unbalanced sample data set training, a model design method based on improved SMOTE algorithm and Focal loss algorithm is proposed. The improved SMOTE algorithm is used to synthesize new samples to balance the data set. At the same time, the Focal loss algorithm is introduced to pay more attention to the difficult samples and optimize the training process of the model. In the simulation test of the model on BOSSbase1.01 data set, under the training of the unbalanced sample set, the detection rate is significantly higher than the similar Zhu-Net method, and the average detection rate is increased by 0.9%, up to 1.9%. This proves the effectiveness of this method and improves the accuracy of model detection.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-058-9_66
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_66How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haotian Zhao
AU  - Ke Niu
AU  - Zhiqiang Ning
AU  - Xiaozhong Pan
PY  - 2022
DA  - 2022/12/27
TI  - Image Steganalysis Method Based On Improved Smote And Focal Loss Algorithm
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 404
EP  - 412
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_66
DO  - 10.2991/978-94-6463-058-9_66
ID  - Zhao2022
ER  -