Filtering events using clustering in heterogeneous security logs
Log files are rich sources of information exhibiting the actions performed during the usage of a computer system in our daily work. In this study we concentrate on parsing/isolating logs from different sources and then clustering the logs using data mining tool (Weka) to filter the unwanted entries...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Network for Scientific Information
2011
|
Online Access: | http://psasir.upm.edu.my/id/eprint/22453/1/Filtering%20events%20using%20clustering%20in%20heterogeneous%20security%20logs.pdf http://psasir.upm.edu.my/id/eprint/22453/ http://scialert.net/abstract/?doi=itj.2011.798.806 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Putra Malaysia |
Language: | English |