Classifying computer session data using self-organizing maps
We propose an advanced solution to track persistent computer intruders inside a UNIX-based system by clustering sessions into groups bearing similar characteristics according to expertise and type of work. Our semi-supervised method based on Self-Organizing Map (SOM) accomplishes classification of f...
Guardado en:
| Autor principal: | Segura, Enrique Carlos |
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| Publicado: |
2009
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| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97807695_v1_n_p48_Estrada http://hdl.handle.net/20.500.12110/paper_97807695_v1_n_p48_Estrada |
| Aporte de: |
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