Title :
Revisiting LISYS: parameters and normal behavior
Author :
Balthrop, Justin ; Forrest, Stephanie ; Glickman, Matthew R.
Author_Institution :
Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
fDate :
6/24/1905 12:00:00 AM
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
Keywords :
computer network management; security of data; LISYS; artificial immune system; false positive minimization; network intrusion detection; normal behavior; parameter settings; Artificial immune systems; Computer science; Control systems; Detectors; Immune system; Industrial relations; Intrusion detection; Local area networks; Telecommunication traffic; Testing;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004387
