Anomaly intrusion detection method based on K-means clustering algorithm with particle swarm optimization

Proceedings - 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, ICM 2011

Volumn 2, Issue , 2011, Pages 157-161

  Li, Zhengjie ^a   Li, Yongzhong ^a   Xu, Lei ^a  

^a JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

IDS; K means clustering; PSO

Indexed keywords

ANOMALY INTRUSION DETECTION; DATA SETS; DETECTION RATES; FALSE DETECTIONS; GLOBAL SEARCH ABILITY; IDS; INTRUSION DETECTION SYSTEMS; K-MEANS CLUSTERING; K-MEANS CLUSTERING ALGORITHM; LOCAL MINIMUMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO; SWARM INTELLIGENCE; TECHNOLOGY-BASED;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CELLULAR AUTOMATA; INTRUSION DETECTION; MANAGEMENT SCIENCE; PARTICLE SWARM OPTIMIZATION (PSO);

INFORMATION TECHNOLOGY;

EID: 84863053344     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICM.2011.184     Document Type: Conference Paper

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