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

Dual-mode collaborative DDoS attack detection and defense scheme for SDN networks

Gao Qinyia,b
Wan Wunanb,c
Zhang Shibinb,c
a. Advanced Cryptography and System Security Key Laboratory of Sichuan Province, b. School of Cybersecurity (Xin Gu Industrial College), c. College of Artificial Intelligence(Xin Gu Industrial College), Chengdu University of Information Technology, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2025.10.0456

Abstract

Software-defined networking is widely deployed in critical information infrastructures. Its logically centralized control plane is vulnerable to distributed denial-of-service attacks. Existing approaches often show limited generalization under complex and time-varying traffic. They also suffer from weak interpretability and loose coupling between detection and defense. This paper proposed a dual-mode collaborative detection and defense framework for SDN networks, named DMDD. The detection module combined a Transformer and an LSTM to model global dependencies and temporal dynamics in parallel. An uncertainty-gated mechanism was introduced to trigger co-teaching consistency only for low-confidence samples. This design improved robustness and generalization in complex attack scenarios. The defense module used an explanation-to-policy mechanism based on a large language model. Detection outputs were translated into structured and constraint-aware policies under SDN invariants. Atomic batch deployment and link-level feedback were applied to construct a closed loop of detection, policy enforcement, and feedback. Experiments on the InSDN and CIC-DDoS2019 datasets achieved over 99% accuracy and F1-score. Simulation results on basic and complex Mininet topologies showed that the proposed framework effectively mitigated DDoS attacks while maintaining a low collateral damage rate.

Foundation Support

国家重点研发计划"网络空间安全治理"重点专项课题(2022YFB3103103)
四川省科技教育联合基金面上项目(2025NSFSC2077)
成都市重点研发项目(2023-XT00-00002-GX)
成都市重点研发支撑计划项目(2024-YF05-01227-SN)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.10.0456
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 7

Publish History

[2026-03-23] Accepted Paper

Cite This Article

高沁怡, 万武南, 张仕斌. 一种双模协同的SDN网络DdoS攻击检测与防御方案 [J]. 计算机应用研究, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0456. (Gao Qinyi, Wan Wunan, Zhang Shibin. Dual-mode collaborative DDoS attack detection and defense scheme for SDN networks [J]. Application Research of Computers, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0456. )

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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