Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 43, 2026 No. 2
596-603

SDN flow table multi-modal perception and DRL collaborative defense against DDoS method

Xu Zepeng1,2
Shu Zhaogang1,2
Chen Shuwu1,2
Tu Qiang1,2
Zhuang Tao1,2
1. College of Computer & Information Science, Fujian Agriculture & Forestry University, Fuzhou 350002, China
2. Engineering Research Center of Smart Sensing and Agricultural Chip Technology, Fujian Agriculture & Forestry University, Fuzhou 350002, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0219

Abstract

The centralized control architecture of SDN enhances management efficiency while posing risks of DDoS attacks. Addressing the challenges of traditional detection methods in handling covert attack behaviors within large-scale dynamic traffic and the tendency to mistakenly block short-term high-concurrency normal traffic, this paper proposed a DDoS defense system based on multi-modal deep reinforcement learning. This system achieved a dynamic balance between detection accuracy and resource efficiency by integrating spatio-temporal feature decoupling and intelligent decision optimization. It maximized the avoidance of denial of service for non-attack traffic when resources are abundant. Experimental results show that the attack detection accuracy rate averages 99.61%, with a false positive rate not exceeding 0.5%. This system reduces false positives for legitimate traffic while maintaining high accuracy, thereby ensuring the quality of network services during the defense process.

Foundation Support

福建省福厦泉协同创新平台项目(2025E3012)
福建省高校产学研合作项目(2024H6007)
福建省高校产学研联合创新项目(2024H6030)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0219
Publish at: Application Research of Computers Printed Article, Vol. 43, 2026 No. 2
Section: Technology of Information Security
Pages: 596-603
Serial Number: 1001-3695(2026)02-033-0596-08

Publish History

[2025-10-27] Accepted Paper
[2026-02-05] Printed Article

Cite This Article

徐泽鹏, 舒兆港, 陈淑武, 等. 面向SDN流表多模态感知与DRL协同防御DDoS方法 [J]. 计算机应用研究, 2026, 43 (2): 596-603. (Xu Zepeng, Shu Zhaogang, Chen Shuwu, et al. SDN flow table multi-modal perception and DRL collaborative defense against DDoS method [J]. Application Research of Computers, 2026, 43 (2): 596-603. )

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.

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