Title: Automatic repair of pollution attacks in SDN topology network based on SOM algorithm

Authors: Xiaoliang Yang; Yi Dai; Alun

Addresses: Department of Computer and Information Engineering, Inner Mongolia Vocational College of Chemical Engineering, Hohhot, 010070, China ' Department of Computer and Information Engineering, Inner Mongolia Vocational College of Chemical Engineering, Hohhot, 010070, China ' Department of Computer and Information Engineering, Inner Mongolia Vocational College of Chemical Engineering, Hohhot, 010070, China

Abstract: When using the current method to recover the vulnerabilities caused by pollution attacks in SDN network, there are some problems, such as low coverage, low accuracy of vulnerability detection results and low repair efficiency. To this end, an automatic repair method for topology pollution attacks in SDN network based on SOM algorithm is proposed. This paper analyses the security vulnerabilities in SDN architecture and SDN network, and extracts the attack flow characteristics of topology pollution attacks in SDN network. The extracted attack flow features are input into SOM algorithm to detect and identify vulnerabilities caused by pollution attacks. Combining the theory of vertex concavity and convexity and geometric triangle, the detected vulnerabilities are repaired to realise the automatic repair of topology pollution attacks in SDN network. The experimental results show that the proposed method has high coverage, high accuracy of vulnerability detection and high efficiency of vulnerability repair.

Keywords: SDN network; pollution attack; vulnerability repair; vulnerability detection; SOM algorithm.

DOI: 10.1504/IJICT.2021.114848

International Journal of Information and Communication Technology, 2021 Vol.18 No.3, pp.243 - 260

Received: 11 Dec 2019
Accepted: 26 Dec 2019
Published online: 10 May 2021 *

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