A new GHSOM model applied to network security

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

Volumn 5163 LNCS, Issue PART 1, 2008, Pages 680-689

  Palomo, Esteban J ^a   Domínguez, Enrique ^a   Luque, Rafael Marcos ^a   Muñoz, José ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; ARTIFICIAL NEURAL NETWORK MODELS; DATA MINING APPLICATIONS; GHSOM MODEL; HIERARCHICAL ARCHITECTURES; HIERARCHICAL NEURAL NETWORKS; HIERARCHICAL RELATIONS; HIGH-DIMENSIONAL; INPUT DATAS; INTRUSION DETECTION SYSTEMS; IP PACKETS; NETWORK INTRUSIONS; NUMERICAL DATA; REAL-LIFE PROBLEMS; SELFORGANIZING MAP; STATIC ARCHITECTURE; SYMBOLIC DATA; TECHNIQUES USED;

ARCHITECTURAL DESIGN; BACKPROPAGATION; CELLULAR RADIO SYSTEMS; COMPUTER CRIME; CONFORMAL MAPPING; INTERNET; INTRUSION DETECTION; MINING; NEURAL NETWORKS; STRENGTH OF MATERIALS;

NETWORK SECURITY;

EID: 58849142192     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87536-9_70     Document Type: Conference Paper

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