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) |
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Pages | 1090-1097 |
Number of pages | 8 |
DOIs | |
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 |
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Country/Territory | United States |
City | Annapolis, MD |
Period | 7/8/02 → 7/11/02 |
All Science Journal Classification (ASJC) codes
- Information Systems