Comparison of BPL and RBF network in intrusion detection system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2639, Issue , 2003, Pages 466-470

  Zhang, Chunlin ^a   Jiang, Ju ^a   Kamel, Mohamed ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; BACKPROPAGATION ALGORITHMS; COMPUTER CRIME; DATA MINING; FUZZY SETS; GRANULAR COMPUTING; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; ROUGH SET THEORY; MULTILAYERS; OPTIMIZATION; SECURITY SYSTEMS;

BACKPROPAGATION LEARNING; FALSE POSITIVE RATES; HIGH DETECTION RATE; INTRUSION DETECTION SYSTEMS; MULTILAYER PERCEPTRON NEURAL NETWORKS; PERFORMANCE COMPARISON; RADIAL BASIS FUNCTION(RBF); TRAINING TIME;

INTRUSION DETECTION; BACKPROPAGATION;

BACKPROPAGATION LEARNING (BPL) ALGORITHM; INTRUSION DETECTION SYSTEMS (IDS); TRAINING TIME;

EID: 8344251737     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_79     Document Type: Conference Paper

References (7)

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