Network tolerance optimisation to random and target attacks based on percolation theory Online publication date: Tue, 13-Sep-2022
by Xiaoteng Yang; Zhenqiang Wu; Jun Yan; Mubarak Umar
International Journal of Security and Networks (IJSN), Vol. 17, No. 3, 2022
Abstract: A social network system has failure characteristics for random attacks of components or target attacks. This paper constructs related models for complex network defence systems to support the integrity of the social network system. First, we discuss the impact of component failure on complex systems and determine the risk scope. Second, based on the attack tolerance of the percolation theory, we verify the robustness of the network system through the percolation threshold fc to determine its optimal distribution. Third, we build a bimodal-distributed network model based on the network optimality to resist network failure. The model simulation results show that when the degree node is Kmin > 1 and Kmax = AN2/3 in the complex networks, these nodes themselves form a largest cluster to guarantee the integrity of the network system, and to ensure that the network is still robust to subsequent attacks after the removal of the central hub nodes.
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 Security and Networks (IJSN):
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