Abstract
This paper studies a simplified form of LISYS, an artificial immune system for network intrusion detection. The paper describes results based on a new, more controlled data set than that used for earlier studies. The paper also looks at which parameters appear most important for minimizing false positives, as well as the trade-offs and relationships among parameter settings.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 |
| Publisher | IEEE Computer Society |
| Pages | 1045-1050 |
| Number of pages | 6 |
| Volume | 2 |
| ISBN (Print) | 0780372824, 9780780372825 |
| DOIs | |
| State | Published - Jan 1 2002 |
| Externally published | Yes |
| Event | 2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States Duration: May 12 2002 → May 17 2002 |
Other
| Other | 2002 Congress on Evolutionary Computation, CEC 2002 |
|---|---|
| Country | United States |
| City | Honolulu, HI |
| Period | 5/12/02 → 5/17/02 |
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ASJC Scopus subject areas
- Software
Cite this
Revisiting LISYS : Parameters and normal behavior. / Balthrop, Justin; Forrest, Stephanie; Glickman, Matthew R.
Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002. Vol. 2 IEEE Computer Society, 2002. p. 1045-1050 1004387.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Revisiting LISYS
T2 - Parameters and normal behavior
AU - Balthrop, Justin
AU - Forrest, Stephanie
AU - Glickman, Matthew R.
PY - 2002/1/1
Y1 - 2002/1/1
N2 - This paper studies a simplified form of LISYS, an artificial immune system for network intrusion detection. The paper describes results based on a new, more controlled data set than that used for earlier studies. The paper also looks at which parameters appear most important for minimizing false positives, as well as the trade-offs and relationships among parameter settings.
AB - This paper studies a simplified form of LISYS, an artificial immune system for network intrusion detection. The paper describes results based on a new, more controlled data set than that used for earlier studies. The paper also looks at which parameters appear most important for minimizing false positives, as well as the trade-offs and relationships among parameter settings.
UR - http://www.scopus.com/inward/record.url?scp=33750972259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750972259&partnerID=8YFLogxK
U2 - 10.1109/CEC.2002.1004387
DO - 10.1109/CEC.2002.1004387
M3 - Conference contribution
AN - SCOPUS:33750972259
SN - 0780372824
SN - 9780780372825
VL - 2
SP - 1045
EP - 1050
BT - Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
PB - IEEE Computer Society
ER -