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Classifying Computer Session Data Using Self-Organizing Maps

Published • Jan 1, 2009
NobleIDNI0P39W03R86S86
Authors:
Vero Estrada-Galiñanes
,
Akihiro Nakao
,
Enrique Carlos Segura

Abstract

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 ...

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