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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 11

Network telemetry scheduling method for detecting flow table overflow attacks in SDN

Deng Di1a,1b
Cui Yunhe1a,1b
Shen Guowei1a,1b
Guo Chun1a,1b
Chen Yi1a,1b
Qian Qing2
1. a. State Key Laboratory of Public Big Data, College of Computer Science & Technology, b. College of Computer Science & Technology, Guizhou University Guizhou 550025, China
2. School of Information, Guizhou University of Finance & Economics Guizhou 550025, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0075

Abstract

This paper proposed a network telemetry scheduling method, F-Sense INT, aimed at solving the data redundancy issue caused by network telemetry scheduling based on fixed periods or specific event scheduling for detecting flow table overflow attacks. F-Sense INT analyzed the characteristics of flow table overflow attack traffic flows and collected network state information used to detecting such attacks. F-Sense INT decreases telemetry reporting volume while reducing the use of controller resources consumption and southbound channel bandwidth consumption. Experimental results demonstrated that F-Sense INT effectively filtered out non-flow table overflow attack flows in the network. It reduced the quantity of telemetry data packets by 9 to 16.7 times compared to the native OVS system, with only a 1.13% increase in switches CPU utilization and a 4.18% increase in memory usage. F-Sense INT significantly enhances network telemetry efficiency in the context of flow table overflow attack detection and offers high practicality.

Foundation Support

国家自然科学基金项目(62102111)
贵州省科技计划项目(黔科合基础-ZK[2022]重点011)
贵州省高等学校大数据安全与网络安全创新团队项目(黔教技[2023]052号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0075
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 11

Publish History

[2024-05-22] Accepted Paper

Cite This Article

邓笛, 崔允贺, 申国伟, 等. SDN中面向流表溢出攻击检测的网络遥测调度方法 [J]. 计算机应用研究, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0075. (Deng Di, Cui Yunhe, Shen Guowei, et al. Network telemetry scheduling method for detecting flow table overflow attacks in SDN [J]. Application Research of Computers, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0075. )

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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