TY  - JOUR 
AU  - Corchado Rodríguez, Emilio Santiago
AU  - Herrero Cosío, Álvaro
AU  - Sáiz, José M.
PY  - 2005
SN  - 978-3-540-28755-1 (Print) / 978-3-540-28756-8 (Online)
SN  - 0302-9743 (Print) / 1611-3349 (Online)
UR  - http://hdl.handle.net/10366/135087
AB  - This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behavior patterns and successfully demonstrates that such models respond...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Detecting Compounded Anomalous SNMP Situations Using Unsupervised Pattern Recognition
ER  -