An interacting automata model for network protection

Richard Brooks; Nathan Orr; John Zachary; Christopher Griffin

doi:10.1109/ICIF.2002.1020934

An interacting automata model for network protection

Richard Brooks
, Nathan Orr
, John Zachary
, Christopher Griffin

Research output: Contribution to conference › Paper › peer-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 language	English (US)
Pages	1090-1097
Number of pages	8
DOIs	https://doi.org/10.1109/ICIF.2002.1020934
State	Published - 2002
Event	5th International Conference on Information Fusion, FUSION 2002 - Annapolis, MD, United States Duration: Jul 8 2002 → Jul 11 2002

Other

Other	5th International Conference on Information Fusion, FUSION 2002
Country/Territory	United States
City	Annapolis, MD
Period	7/8/02 → 7/11/02

All Science Journal Classification (ASJC) codes

Information Systems

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10.1109/ICIF.2002.1020934

Cite this

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title = "An interacting automata model for network protection",

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).",

author = "Richard Brooks and Nathan Orr and John Zachary and Christopher Griffin",

year = "2002",

doi = "10.1109/ICIF.2002.1020934",

language = "English (US)",

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note = "5th International Conference on Information Fusion, FUSION 2002 ; Conference date: 08-07-2002 Through 11-07-2002",

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AU - Brooks, Richard

AU - Orr, Nathan

AU - Zachary, John

AU - Griffin, Christopher

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N2 - 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).

AB - 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).

UR - https://www.scopus.com/pages/publications/33746858516

UR - https://www.scopus.com/pages/publications/33746858516#tab=citedBy

U2 - 10.1109/ICIF.2002.1020934

DO - 10.1109/ICIF.2002.1020934

M3 - Paper

AN - SCOPUS:33746858516

SP - 1090

EP - 1097

T2 - 5th International Conference on Information Fusion, FUSION 2002

Y2 - 8 July 2002 through 11 July 2002

ER -

An interacting automata model for network protection

Abstract

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