Genetic algorithm with different feature selection techniques for anomaly detectors generation

2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013

Volumn , Issue , 2013, Pages 769-774

  Aziz, Amira Sayed A ^a   Azar, Ahmad Taher ^b   Salama, Mostafa A ^c   Hassanien, Aboul Ella ^d   Hanafy, Sanaa El Ola ^d  

^a Universite Francaise d'Egypte   (Egypt)

^b Benha University   (Egypt)

^c BRITISH UNIVERSITY IN EGYPT   (Egypt)

^d Cairo University   (Egypt)

Author keywords

Anomaly detectors generation; feature selection; genetic algorithms

Indexed keywords

ANOMALY DETECTOR; DETECTION ACCURACY; DETECTION PERFORMANCE; DETERMINISTIC CROWDING; IMPROVE PERFORMANCE; INTRUSION DETECTION SYSTEMS; PRINCIPLE COMPONENTS ANALYSIS; SELECTION TECHNIQUES;

COMPUTER SCIENCE; DETECTORS; FEATURE EXTRACTION; INFORMATION SYSTEMS; INTRUSION DETECTION; PRINCIPAL COMPONENT ANALYSIS;

GENETIC ALGORITHMS;

EID: 84892537944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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