Intrusion detection method using neural networks based on the reduction of characteristics

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

Volumn 5517 LNCS, Issue PART 1, 2009, Pages 1296-1303

  Lorenzo Fonseca, Iren ^a   MacIá Pérez, Francisco ^b   Mora Gimeno, Francisco José ^b   Lau Fernández, Rogelio ^a   Gil Martínez Abarca, Juan Antonio ^b   Marcos Jorquera, Diego ^b  

^a José Antonio Echevarría Institute of Technology   (Cuba)

^b UNIVERSITY OF ALICANTE   (Spain)

Author keywords

Anomaly detection; Intrusion detection; Neural networks; Principal component analysis

Indexed keywords

ANOMALY DETECTION; ARTIFICIAL NEURAL NETWORK; DATA MODELS; INPUT VECTOR; INTRUSION DETECTION METHOD; INTRUSION DETECTION SYSTEMS; MODEL-BASED; NEURAL CLASSIFIERS; PERFORMANCE EFFICIENCY; PROBLEMATIC ISSUES; SELECTION CRITERIA; TEST SCENARIO;

BACKPROPAGATION; COMPUTER CRIME; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

INTRUSION DETECTION;

EID: 68749122250     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02478-8_162     Document Type: Conference Paper

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