Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 2
501-504

IDS classification algorithm based on fuzzy SVM model

Wang Sheng1
Jin Zhigang2
1. Northern Institute of Electronic Equipment of China, Beijing 100191, China
2. School of Electronic Automation & Information Engineering, Tianjin University, Tianjin 300072, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0565

Abstract

In order to solve the problem of small number of training samples and low classification accuracy in intrusion detection classification, this paper proposed a multi-level classification mechanism based on fuzzy support vector machines(FSVM). This classification mechanism firstly trained the fuzzy SVM model to divide the data roughly into normal and attack categories, and then used DBSCAN algorithm to generate subdivision model for automatic clustering of attack subsets, and then subdivided the relevant data into specific classes of attack. In the mechanism design, it optimized the calculation of membership function, designed the process of data standardization and normalization, and trained the efficient classifier. Aiming at the network service data sets with frequent isolated point interference, much noise and a large proportion of negative samples in the network intrusion detection datasets, experiments show that the new algorithm requires less computing time in the process of classification under the premise of high classification accuracy.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0565
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Technology of Information Security
Pages: 501-504
Serial Number: 1001-3695(2020)02-040-0501-04

Publish History

[2020-02-05] Printed Article

Cite This Article

汪生, 金志刚. 基于模糊SVM模型的入侵检测分类算法 [J]. 计算机应用研究, 2020, 37 (2): 501-504. (Wang Sheng, Jin Zhigang. IDS classification algorithm based on fuzzy SVM model [J]. Application Research of Computers, 2020, 37 (2): 501-504. )

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)