Document Type
Article
Publication Date
November 2020
Patent Number
10848515
CPC
H04L 63/1433, H04L 63/1416, G06N 7/005, G06F 21/57
Abstract
A stochastic model is described for cybersecurity using a host access attack graph to determine network security risk. The model uses Markov chains in conjunction with vulnerability metrics to analyze risks associated with a number of different types of computing devices in various types of networks. The model can be used to identify critical nodes in a host access attack graph where attackers may be most likely to focus. Based on that information, a network administrator can make appropriate, prioritized decisions for system patching. Further, a flexible risk ranking technique is described, where the decisions made by an attacker can be adjusted using a bias factor. The model can be generalized for use with complicated network environments.
Application Number
15/829264
Recommended Citation
Pokhrel, Nawa Raj and Tsokos, Chris P., "Predictive model for overall network security risk" (2020). USF Patents. 1213.
https://digitalcommons.usf.edu/usf_patents/1213
Assignees
University of South Florida
Filing Date
12/01/2017
