Vulnerability assessment method of network topology structure based on maximum likelihood function Online publication date: Wed, 31-Jan-2024
by Qing Li
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 15, No. 3/4, 2023
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook