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...

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Bibliographic Details
Main Authors: Hajamydeen, Asif Iqbal, Udzir, Nur Izura, Mahmod, Ramlan, Abd Ghani, Abdul Azim
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
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Institution: Universiti Putra Malaysia
Language: English
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