Technology of Information Security
|
2832-2836

LFA detection method based on MS-KNN algorithm in SDN

Sun Wenyue
Wang Changda
School of Computer Science & Communication Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China

Abstract

To address the problem that a new type of DDoS attack, LFA is difficult to detect, this paper proposed an LFA detection method based on MS-KNN method in SDN. Firstly, this paper simulated LFA and constructed LFA dataset by building an SDN experiment platform. Secondly, it used an improved weighted Euclidean distance MS algorithm to classify the LFA dataset. Finally, it used the KNN algorithm to determine whether LFA data were included in the classification results. The experimental results show that MS-KNN not only obtains a higher accuracy rate, but also has a lower false positive rate compared with the KNN algorithm.

Foundation Support

国家自然科学基金资助项目(62072217,61672269)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0058
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Technology of Information Security
Pages: 2832-2836
Serial Number: 1001-3695(2022)09-042-2832-05

Publish History

[2022-04-21] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

孙文悦, 王昌达. SDN中基于MS-KNN算法的LFA检测方法 [J]. 计算机应用研究, 2022, 39 (9): 2832-2836. (Sun Wenyue, Wang Changda. LFA detection method based on MS-KNN algorithm in SDN [J]. Application Research of Computers, 2022, 39 (9): 2832-2836. )

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  • 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.

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