An interacting automata model for network protection

Richard Brooks, Nathan Orr, John Zachary, Christopher Griffin

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Malicious network activity is rapidly increasing. To understand and engineer countermeasures to network attacks, we have developed cellular automata models of network flow dynamics and associated attacks. We describe the theoretical development of our model and compare it to existing models of network flow based on statistical physics. Using our model, we have found empirical evidence that a link exists between the behavior of a network and its entropy. This paper discusses potential extensions of this work to entropy-based intrusion detection systems (IDS).

Original languageEnglish (US)
Pages1090-1097
Number of pages8
DOIs
StatePublished - 2002
Event5th International Conference on Information Fusion, FUSION 2002 - Annapolis, MD, United States
Duration: Jul 8 2002Jul 11 2002

Other

Other5th International Conference on Information Fusion, FUSION 2002
Country/TerritoryUnited States
CityAnnapolis, MD
Period7/8/027/11/02

All Science Journal Classification (ASJC) codes

  • Information Systems

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