Technology of Information Security
|
3416-3424

High-performance lookups of OpenFlow-compliant virtual flow tables against malicious attacks

Xiong Bing1
Huang Qiaorong1
Luo Yao1
Zhao Jinyuan2
Zhang Jin1
1. School of Computer Science & Communication Engineering, Changsha University of Science & Technology, Changsha 410114, China
2. School of Information Science & Engineering, Changsha Normal University, Changsha 410199, China

Abstract

Aiming at the devastating impact of malicious attacks on virtual OpenFlow-compliant flow table lookup, this paper built a high-performance lookup method for OpenFlow-compliant virtual flow tables against malicious attacks. Based on approximate membership query theory, this method applied Bloom filters to predict tuple lookup failures and bypass failed lookups of a great majority of tuples, so as to accelerate the tuple space search and increase the lookup efficiency of OpenFlow-compliant virtual flow tables. Furthermore, this paper designed a scalable counting Bloom filter, which adaptively extended and retracted in accordance with dynamic variation of tuple scale, to determine tuple lookup failures with high accuracy all the time. Finally, this paper evaluated the performance of the proposed lookup method of OpenFlow-compliant virtual flow tables with real network traffic traces and malicious attack simulations. The experimental results indicate that the proposed method keeps false positive error rate below 6% with 93% lower than that of the count Bloom filter, and reduces average search length by 90%, both for the mixture ratio of attack packets and normal ones 1: 2 and 2: 1.

Foundation Support

国家自然科学基金资助项目(62272062)
湖南省自然科学基金资助项目(2023JJ30053,2021JJ30456)
湖南省教育厅资助科研项目(22A0232)
长沙理工大学公路养护技术国家工程研究中心开放基金资助项目(kfj220107)
长沙理工大学研究生科研创新项目(CX2021SS74)
湖南省研究生科研创新项目(CX20230913)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0109
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Technology of Information Security
Pages: 3416-3424
Serial Number: 1001-3695(2023)11-033-3416-09

Publish History

[2023-05-31] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

熊兵, 黄巧荣, 罗瑶, 等. 一种抗恶意攻击的OpenFlow虚拟流表高性能查找方法 [J]. 计算机应用研究, 2023, 40 (11): 3416-3424. (Xiong Bing, Huang Qiaorong, Luo Yao, et al. High-performance lookups of OpenFlow-compliant virtual flow tables against malicious attacks [J]. Application Research of Computers, 2023, 40 (11): 3416-3424. )

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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