Title: Vulnerability assessment method of network topology structure based on maximum likelihood function

Authors: Qing Li

Addresses: Pingdingshan Industrial College of Technology, Pingdingshan 467000, China

Abstract: In order to improve the accuracy of network vulnerability assessment results, and reduce the node loss rate, a network topology vulnerability assessment method based on maximum likelihood function is proposed. The network characteristics and network topology are analysed. The reliability of the network topology is estimated by using the maximum likelihood function according to the analysis results. An assessment index set is constructed according to the reliability assessment results, and each assessment index in the assessment index set is standardised. At the same time, a fuzzy assessment matrix and a judgement scale matrix of network topology vulnerability are constructed, and the weight of each assessment index is calculated. A network topology vulnerability assessment model is established to achieve vulnerability assessment. The experimental results show that the minimum assessment time of the proposed method is 1.93 s, the node loss rate is always lower than 2%, and the assessment accuracy is high.

Keywords: maximum likelihood function; network topology; vulnerability assessment; constraints; normalisation.

DOI: 10.1504/IJRIS.2023.136358

International Journal of Reasoning-based Intelligent Systems, 2023 Vol.15 No.3/4, pp.243 - 248

Received: 15 Aug 2022
Accepted: 26 Sep 2022
Published online: 31 Jan 2024 *

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