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Graph theory provides a robust tool for modeling a diverse range of subjects. It has been widely applied to computer networks and even network attacks. However, the incidence function in graph theory is often given a cursory treatment. This current research involves applying a range of information theory equations to describe the incidence function in a graph of a computer network. This improves modeling of computer network attacks and intrusions. Specifically attacks that involve substantial changes in network traffic can be more accurately modeled, if the incidence function of the graph is expanded. Key-Words: Graph theory, Shannon entropy, Rényi entropy, incidence functions, information theory Received: April 8, 2020. Revised: June 9, 2020. Accepted: June 16, 2020. Published: June 18, 2020

An Enhanced View of Incidence Functions for Applying Graph Theory to Modeling Network Intrusions