WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 17, 2020
An Enhanced View of Incidence Functions for Applying Graph Theory to Modeling Network Intrusions
Authors: Chuck Easttom, Mo Adda
Abstract: 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
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Keywords: Graph theory, Shannon entropy, Rényi entropy, incidence functions, information theory
Pages: 102-109
DOI: 10.37394/23209.2020.17.12
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 17, 2020, Art. #12