Applied research on data mining algorithm in network intrusion detection

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2009, Pages 275-277

  Xue, Ming ^a   Zhu, Changjun ^b  

^a CHANGCHUN INSTITUTE OF TECHNOLOGY   (China)

^b HEBEI UNIVERSITY OF ENGINEERING   (China)

Author keywords

Association rules; Classification algorithm; Cluster algorithm; Data mining; Intrusion detection; Sequence rules

Indexed keywords

ANOMALY DETECTION; APPLIED RESEARCH; BEHAVIOR PATTERNS; CLASSIFICATION ALGORITHM; CLUSTER ALGORITHM; CLUSTER ALGORITHMS; CURRENT DATA; DATA MINING ALGORITHM; DATA MINING TECHNOLOGY; IN-NETWORK; INTRUSION DETECTION TECHNOLOGIES; MISUSE DETECTION; NETWORK DATA; NETWORK INTRUSION DETECTION SYSTEMS; NORMAL BEHAVIOR; RESEARCH DIRECTIONS; SEQUENCE RULES;

ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; ASSOCIATIVE PROCESSING; CLUSTERING ALGORITHMS; COMPUTER CRIME; DATA MINING; INTERNET; NETWORK SECURITY; RESEARCH; TECHNOLOGY;

INTRUSION DETECTION;

EID: 70350757559     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JCAI.2009.25     Document Type: Conference Paper

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