Feature selection based on rough set and modified genetic algorithm for intrusion detection

ICCSE 2010 - 5th International Conference on Computer Science and Education, Final Program and Book of Abstracts

Volumn , Issue , 2010, Pages 1441-1446

  Guo, Yuteng ^a   Wang, Beizhan ^a   Zhao, Xinxing ^a   Xie, Xiaobiao ^a   Lin, Lida ^a   Zhou, Qingda ^a  

^a XIAMEN UNIVERSITY   (China)

Author keywords

Feature selection; Genetic algorithm; Intrusion detection; Rough sets

Indexed keywords

CLUSTERING APPROACH; DATA SETS; DETECTION ACCURACY; FEATURE SELECTION; FEATURE SELECTION METHODS; FEATURE SUBSET; IMPROVED GENETIC ALGORITHMS; INTRUSION DETECTION SYSTEMS; MODIFIED GENETIC ALGORITHMS; NETWORK INTRUSION DETECTION; OPTIMAL SUBSETS; PERFORMANCE EVALUATION; ROUGH SET; ROUGH SETS THEORY; SVM CLASSIFIERS; TIME AND SPACE;

CLUSTERING ALGORITHMS; COMPUTER CRIME; COMPUTER SCIENCE; EDUCATION COMPUTING; ENGINEERING EDUCATION; FEATURE EXTRACTION; GENETIC ALGORITHMS; OPTIMIZATION; ROUGH SET THEORY;

INTRUSION DETECTION;

EID: 78649411182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSE.2010.5593765     Document Type: Conference Paper

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