New method for intrusion features mining in IDS

Authors:
Wu Liu;Jian-Ping Wu;Hai-Xin Duan;Xing Li
Affiliations:
Network Research Center of Tsinghua University, Beijing, P. R. China;Network Research Center of Tsinghua University, Beijing, P. R. China;Network Research Center of Tsinghua University, Beijing, P. R. China;Network Research Center of Tsinghua University, Beijing, P. R. China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

In this paper, we aim to develop a systematic framework to semi-automate the process of system logs and databases of intrusion detection systems (IDS). We use both Ef-attribute based mining and Es-attribute based mining to mine effective and essential attributes (hence interesting patterns) from the vast and miscellaneous system logs and IDS databases.