An enhanced view of incidence functions for applying graph theory to modeling network intrusions

William Easttom, Mo Adda

Research output: Contribution to journalArticlepeer-review

261 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)102-109
Number of pages8
JournalWSEAS Transactions on Information Science and Applications
Volume15
DOIs
Publication statusPublished - 18 Jun 2020

Keywords

  • graph theory
  • Shannon entropy
  • Rényi entropy
  • incidence functions
  • information theory

Fingerprint

Dive into the research topics of 'An enhanced view of incidence functions for applying graph theory to modeling network intrusions'. Together they form a unique fingerprint.

Cite this