Network intrusion detection using fuzzy class association rule mining based on genetic network programming

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 60-67

  Chen, Ci ^a   Mabu, Shingo ^a   Yue, Chuan ^a   Shimada, Kaoru ^a   Hirasawa, Kotaro ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

Class association rule mining; Fuzzy membership function; Genetic network programming; Network intrusion detection

Indexed keywords

ACTION SEQUENCES; ANOMALY DETECTION; ASSOCIATION RULE MINING; ASSOCIATION RULE MINING METHODS; COMPACT PROGRAMS; CONTINUOUS ATTRIBUTE; DIRECTED GRAPHS; EVOLUTIONARY OPTIMIZATIONS; FUZZY CLASS; FUZZY MEMBERSHIP FUNCTION; GENETIC NETWORK PROGRAMMING; HIGH DETECTION RATE; IN-NETWORK; LINCOLN LABORATORY; MACHINE LEARNING TECHNIQUES; NETWORK INTRUSION DETECTION; NETWORK INTRUSIONS; SECURITY THREATS;

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; COMPUTER PROGRAMMING; CYBERNETICS; FUZZY LOGIC; FUZZY SET THEORY; FUZZY SETS; GENETIC ALGORITHMS; GRAPH THEORY; GRAPHIC METHODS; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; MINING;

INTRUSION DETECTION;

EID: 74949084478     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346328     Document Type: Conference Paper

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