App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 7

MAGAT-IDS:minority-aware graph attention network for network intrusion detection

Deng Miaolei
Zhou Xin
Fan Shaojun
Sun Chuanchuan
Li Yuanbo
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2025.10.0455

Abstract

Intrusion detection systems constitute an important technical approach for network security protection. This paper developed a minority-aware graph attention intrusion detection model to address the limited representation capability of minority-class samples under data-imbalanced scenarios. The model optimized the GATv2 architecture by introducing a minority-sensitive node encoding module, which amplified attention weights based on class frequency and enhanced the influence of minority nodes during feature propagation. It also constructed a minority-class edge feature enhancement module to strengthen the semantic representation of edge features through nonlinear residual mapping, and integrated node embeddings with enhanced edge features for joint classification. Validation was performed on the NF-BoT-IoT, NF-ToN-IoT, and NF-UNSW-NB15-v2 public datasets. Experimental results showed that the model achieves F1-scores of 99.98%, 99.88%, and 99.99%, respectively, outperforming other mainstream methods. Therefore, the model maintains strong detection performance and robustness in data-imbalanced network traffic scenarios.

Foundation Support

国家自然科学基金资助项目(62276091)
河南省重大公益专项(201300311200)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.10.0455
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 7

Publish History

[2026-03-23] Accepted Paper

Cite This Article

邓淼磊, 周鑫, 樊少珺, 等. MAGAT-IDS:一种少数类感知的图注意力入侵检测模型 [J]. 计算机应用研究, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0455. (Deng Miaolei, Zhou Xin, Fan Shaojun, et al. MAGAT-IDS:minority-aware graph attention network for network intrusion detection [J]. Application Research of Computers, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0455. )

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.

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