Revisiting LISYS: Parameters and normal behavior

Justin Balthrop, Stephanie Forrest, Matthew R. Glickman

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

59 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 - Jan 1 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
CountryUnited States
CityHonolulu, HI
Period5/12/025/17/02

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Revisiting LISYS: Parameters and normal behavior'. Together they form a unique fingerprint.

  • Cite this

    Balthrop, J., Forrest, S., & Glickman, M. R. (2002). Revisiting LISYS: Parameters and normal behavior. In Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 (pp. 1045-1050). [1004387] (Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/CEC.2002.1004387