Improved competitive learning neural networks for network intrusion and fraud detection

Neurocomputing

Volumn 75, Issue 1, 2012, Pages 135-145

  Lei, John Zhong ^a   Ghorbani, Ali A ^b  

^a Vesta Corporation   (United States)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Competitive learning; Fraud detection; Intrusion detection; Neural network; Supervised unsupervised clustering

Indexed keywords

CRIME; INTRUSION DETECTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS;

COMPETITIVE LEARNING; EXPERIMENTAL COMPARISON; FRAUD DETECTION; LABELED AND UNLABELED DATA; NETWORK INTRUSION DETECTION; NEW CLUSTERING ALGORITHMS; SUPERVISED/UNSUPERVISED CLUSTERING; UNSUPERVISED CLUSTERING ALGORITHM;

CLUSTERING ALGORITHMS;

ACCURACY; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; ELECTRONIC COMMERCE; FUZZY SYSTEM; INTERMETHOD COMPARISON; KERNEL METHOD; MATHEMATICAL MODEL; ONLINE ANALYSIS; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; SIGNAL DETECTION;

EID: 82455199118     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.02.021     Document Type: Article

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