H04L 63/1433, H04L 63/1416, G06N 7/005, G06F 21/57
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.
Pokhrel, Nawa Raj and Tsokos, Chris P., "Predictive model for overall network security risk" (2020). USF Patents. 1213.
University of South Florida