System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2746-2751

Framework for building network intrusion detection system based on feature distribution and AI

He Junpeng1
Luo Lei1
Xiao Kun1
Zhang Haitao1,2
Li Yun3
1. School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China
2. Shanghai Automotive Industry Corporation, Shanghai 200041, China
3. Chengdu Weichen Information Technology Co. , Ltd. , Chengdu 610097, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0018

Abstract

In order to maintain security and reliability of operating system, this paper developed a universal framework for network intrusion detection system based on artificial intelligence(AI) model. This framework was capability of detecting all sorts of network traffic, catching out possible malicious connection or attack from Internet and identifying it. Firstly, this system preprocessed the network traffic data by sampling, one-hot encoding, feature selection and normalization for basic feature extraction. Secondly, it utilized feature distribution in network connection instance to build a scoring mechanism for information extraction once again. Thirdly, it applied the different types of ML/DL models for different forms of network traffic to do final classification for extracted features. In experiments, this system applied three benchmark datasets, KDDCup99, UNSW-NB15 and CICIDS2017. The result of experiments shows it possesses exceedingly good performance and has better accuracy and F1 score than related works under these datasets.

Foundation Support

四川省重大科技专项资助项目(2018GZDZX0009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0018
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: System Development & Application
Pages: 2746-2751
Serial Number: 1001-3695(2021)09-034-2746-06

Publish History

[2021-09-05] Printed Article

Cite This Article

何俊鹏, 罗蕾, 肖堃, 等. 基于特征值分布和人工智能的网络入侵检测系统的研究与实现 [J]. 计算机应用研究, 2021, 38 (9): 2746-2751. (He Junpeng, Luo Lei, Xiao Kun, et al. Framework for building network intrusion detection system based on feature distribution and AI [J]. Application Research of Computers, 2021, 38 (9): 2746-2751. )

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)