An evolutionary approach to generate fuzzy anomaly (attack) signatures

IEEE Systems, Man and Cybernetics Society Information Assurance Workshop

Volumn , Issue , 2003, Pages 251-259

  Gonzalez F ^a,b   Gomez J ^a,b   Kaniganti, Madhavi ^a   Dasgupta, Dipankar ^a  

^a University of Memphis   (United States)

^b UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Artificial immune systems; Character generation; Computer networks; Computer science; Detectors; Fuzzy sets; Genetic algorithms; Intrusion detection; Shape; Telecommunication traffic

Indexed keywords

COMPUTER NETWORKS; COMPUTER SCIENCE; CYBERNETICS; DETECTORS; FUZZY INFERENCE; FUZZY SETS; GENETIC ALGORITHMS; TELECOMMUNICATION TRAFFIC;

ARTIFICIAL IMMUNE SYSTEM; CHARACTER GENERATION; EVOLUTIONARY APPROACH; FUZZY SIGNATURES; GENETIC REPRESENTATIONS; NEGATIVE SELECTION; NETWORK SIMULATORS; SHAPE;

INTRUSION DETECTION;

EID: 84901643828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMCSIA.2003.1232430     Document Type: Conference Paper

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