Technology of Information Security
|
1190-1194

Image steganalysis based on self-attention

Huang Siyuana,b
Zhang Minqinga,b
Ke Yana,b
Bi Xinlianga,b
a. Key Laboratory of Network & Information Security of Chinese Armed Police Force, b. College of Cryptographic Engineering, Engineering University of CAPF, Xi'an 710086, China

Abstract

Aiming at the problem that the adaptive steganalysis of images is difficult, and the existing models are difficult to make a targeted analysis of favorable areas of images, this paper proposed an image steganalysis model SA-SRNet based on self-attention. The model introduced self-attention into SRNet to guide the model to focus on favorable areas for steganalysis in the global image and the long-range dependencies of image. It solved the problem that the training of hard-attention was easy to fall into local optimum. First, the reward mechanism used reinforcement learning to guide the model to find the detection point which was most favorable for steganalysis. Secondly, the self-attention used the detection point to generate the important attention image. Finally, the replace mechanism used the important attention images to replace the mis-classified images to improve the quality of training set and the discriminant ability of the model. This paper carried out the experiments on BOSSbase 1.01 dataset. The results show that SA-SRNet can achieve better accuracy of steganalysis than that of SRNet, and can improve the accuracy by up to 1.8%.

Foundation Support

国家自然科学基金资助项目
国家重点研究开发项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0135
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Technology of Information Security
Pages: 1190-1194
Serial Number: 1001-3695(2021)04-043-1190-05

Publish History

[2021-04-05] Printed Article

Cite This Article

黄思远, 张敏情, 柯彦, 等. 基于自注意力机制的图像隐写分析方法 [J]. 计算机应用研究, 2021, 38 (4): 1190-1194. (Huang Siyuan, Zhang Minqing, Ke Yan, et al. Image steganalysis based on self-attention [J]. Application Research of Computers, 2021, 38 (4): 1190-1194. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)