Critical study of supervised learning techniques in predicting attacks

Information Security Journal

Volumn 19, Issue 1, 2010, Pages 22-35

  Beghdad, Rachid ^a  

^a UNIVERSITY OF BEJAIA   (Algeria)

Author keywords

Bayesian networks; Classification trees; Data mining; Intrusion detection systems; Learning rules; Misuse intrusion detection

Indexed keywords

CLASSIFICATION AND REGRESSION TREE; CLASSIFICATION TREES; DATA SETS; INTRUSION DETECTION SYSTEMS; LEARNING RULES; MACHINE LEARNING METHODS; MISUSE INTRUSION; MULTINOMIAL LOGISTIC REGRESSION; PREDICTING ATTACKS; PREDICTION MODEL; RULE BASED ALGORITHMS;

ADAPTIVE BOOSTING; ALGORITHMS; BAYESIAN NETWORKS; DATA MINING; DISTRIBUTED PARAMETER NETWORKS; FORECASTING; INFERENCE ENGINES; INTELLIGENT NETWORKS; MATHEMATICAL MODELS; PLANT EXTRACTS; SUPERVISED LEARNING; TREES (MATHEMATICS);

INTRUSION DETECTION;

EID: 79952952185     PISSN: 19393555     EISSN: 19393547     Source Type: Journal    
DOI: 10.1080/19393550903551231     Document Type: Article

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