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Abstract: This paper studies a simpli ed form of LISYS, an arti cial 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-o s and relationships among parameter settings. (Update)
Cited by: More
Computation in the Wild - Forrest, Balthrop, Glickman, Ackley (2002) (Correct)
Coverage and Generalization in an Artificial Immune System - Balthrop, Esponda, al. (2002) (Correct)
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2.1: Revisiting LISYS: Parameters and Normal Behavior - Balthrop, Forrest, Glickman (2002) (Correct)
0.7: Information Immune Systems - Chao, Forrest (2002) (Correct)
0.3: Immunology as Information Processing - Forrest, Hofmeyr (2000) (Correct)
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0.3: Architecture for an Artificial Immune System - Hofmeyr, Forrest (2000) (Correct)
0.3: Adaptive Radio: Achieving Consensus Using Negative Preferences - Chao, Balthrop, Forrest (2004) (Correct)
0.2: A Sense of Self for Unix Processes - Forrest, Hofmeyr, Somayaji.. (1996) (Correct)
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2: An immunological approach to change detection: algorithms (context) - D'haeseleer, Forrest et al. - 1996
2: A Network Security Monitor (context) - Heberlein, Dias et al. - 1990
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BibTeX entry: (Update)
J. Balthrop, S. Forrest, and M. Glickman. Revisiting lisys: Parameters and normal behavior. In CEC-2002: Proceedings of the Congress on Evolutionary Computing, 2002. http://citeseer.ist.psu.edu/article/balthrop02revisiting.html More
@misc{ balthrop02revisiting,
author = "J. Balthrop and S. Forrest and M. Glickman",
title = "Revisiting lisys: Parameters and normal behavior",
text = "J. Balthrop, S. Forrest, and M. Glickman. Revisiting lisys: Parameters
and normal behavior. In CEC-2002: Proceedings of the Congress on Evolutionary
Computing, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/balthrop02revisiting.html" }
Citations (may not include all citations):121 Network intrusion detection (context) - Mukherjee, Heberlein et al. - 1994
74 Self-nonself discrimination in a computer - Forrest, Perelson et al. - 1994
68 A network security monitor (context) - Heberlein, Dias et al. - 1990
35 An immunological approach to change detection: algorithms (context) - D'haeseleer, Forrest et al. - 1996
25 An immunological model of distributed detection and its appl.. - Hofmeyr - 1999
19 Testing intrusion detection systems: A critique (context) - McHugh - 1998
18 Predicting size antibody combining region from consideration.. (context) - Percus, the et al. - 1993
8 Immunity-based intrusion detection system: A general framewo.. (context) - Dasgupta - 1999
6 An immunological approach to change detection: theoretical r.. (context) - D'haeseleer - 1996
5 CDIS: Towards a computer immune system for detecting network.. (context) - Williams, Anchor et al. - 2001
5 Architecture for an arti cial immune system (context) - Hofmeyr, Forrest - 2000
5 Discriminative power of the receptors activated by k-contigu.. (context) - Wierzchon - 2000
5 Deriving concise description of non-self patterns in an arti.. (context) - Wierzchon - 2001
4 Generating optimal repertoire of antibody strings in an arti.. (context) - Wierzchon - 2000
3 Detector coverage with the r-contiguous bits matching rule (context) - Esponda - 2002
2 The arti cial immune model for network intrusion detection (context) - Kim, Bentley - 1999
2 Personal communication (context) - Ingham - 2001
1 Negative selection and niching by an arti cial immune system.. (context) - Kim, Bentley - 1999
1 An evaluation of negative seelection in an arti cial immune .. (context) - Kim, Bentley - 2001
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Deriving Shape Space Parameters from Immunological Data - Smith, al. (Correct)
Novelty Detection in Time Series Data using Ideas from.. - Dasgupta, Forrest (1995) (Correct)
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