Intrusion detection method based on imbalanced learning classification-Reference-Cited by-同舟云学术

Intrusion detection method based on imbalanced learning classification

Published:2022-07-25 Issue: Volume: Page:1-21
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Li Xiangjun¹²,Kong Ke²³^ORCID,Shen Hua⁴,Wei Zhixiang¹,Liao Xiaofeng⁴

Affiliation:

1. School of Software, Nanchang University, Nanchang, China

2. Department of Computer Science and Technology, Nanchang University, Nanchang, China

3. Faculty of Computing, Harbin Institute of Technology, Harbin, China

4. School of Management, Nanchang University, Nanchang, China

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation Project

Jiangxi Province Educational Reform Key Project

Jiangxi Province College Students Practical Innovation Training

Jiangxi Province Major Subject Academic and Technical Leader Project

Jiangxi Province Key R&D Projects

Jiangxi Science and Technology Innovation Platform Project

Jiangxi Provincial Graduate Innovation Fund Project

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

Reference36 articles.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MBC-UBEM-IDS: A Two-Step Intrusion Detection System for Imbalanced Network Traffic;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

5. Intrusion Detection Model Based on Weighted Extreme Learning Machine;Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023);2023