A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering

Expert Systems with Applications

Volumn 37, Issue 9, 2010, Pages 6225-6232

  Wang, Gang ^a,b   Hao, Jinxing ^b,c   Mab, Jian ^b   Huang, Lihua ^a  

^a FUDAN UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c BEIHANG UNIVERSITY   (China)

Author keywords

Artificial Neural Networks; Fuzzy clustering; Intrusion detection systems

Indexed keywords

COMPUTER CRIME; DECISION TREES; FUZZY CLUSTERING; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; NEURAL NETWORKS;

DETECTION PRECISION; DETECTION RATES; FALSE POSITIVE RATES; FUZZY AGGREGATION; FUZZY CLUSTERING TECHNIQUES; INTRUSION DETECTION SYSTEMS; NEW APPROACHES; TRAINING SUBSETS;

INTRUSION DETECTION;

EID: 84941079784     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.02.102     Document Type: Article

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