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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2797-2801

Intrusion detection method based on ADBN

Jiang Zetao
Zhou Tanshengzi
Key Laboratory of Image & Graphic Intelligent Processing in Guangxi, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2019.03.0149

Abstract

At present, most intrusion detection algorithm cannot achieve a good balance between intrusion detection rate and false positive rate, in order to effectively avoid such problems, this paper proposed an intrusion detection method based on ADBN. The method first initialized the parameters of the encoder part in the ADBN model by training the deep belief network, and initialized the parameters of the decoder part by using the normal distribution. Then it tuned the parameters of the asymmetric deep belief network model by calculating the reconstruction error, so that the model can obtain the optimal low-dimensional representation of the original data. Finally, it used the data obtained by the encoder as input data of the classifier and detected. The ADBN model can extract features that are more conducive to classification and save more test time in the model initialization phase. The experimental results show that the method can achieve better detection performance and achieve better detection accuracy for small categories of samples.

Foundation Support

国家自然科学基金资助项目(61762066,61876049)
广西图像图形智能处理重点实验项目(GIIP201701)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0149
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Technology of Information Security
Pages: 2797-2801
Serial Number: 1001-3695(2020)09-047-2797-05

Publish History

[2020-09-05] Printed Article

Cite This Article

江泽涛, 周谭盛子. 基于ADBN的入侵检测方法 [J]. 计算机应用研究, 2020, 37 (9): 2797-2801. (Jiang Zetao, Zhou Tanshengzi. Intrusion detection method based on ADBN [J]. Application Research of Computers, 2020, 37 (9): 2797-2801. )

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.

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