Revisiting LISYS: Parameters and normal behavior

Justin Balthrop, Stephanie Forrest, Matthew R. Glickman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

64 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
PublisherIEEE Computer Society
Pages1045-1050
Number of pages6
ISBN (Print)0780372824, 9780780372825
DOIs
StatePublished - 2002
Externally publishedYes
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: May 12 2002May 17 2002

Publication series

NameProceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
Volume2

Other

Other2002 Congress on Evolutionary Computation, CEC 2002
Country/TerritoryUnited States
CityHonolulu, HI
Period5/12/025/17/02

ASJC Scopus subject areas

  • Software

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