Real Time Data Mining-based Intrusion Detection

Abstract

In this paper, we present an overview of our research in real time data mining-based intrusion detection systems (IDSs). We focus on issues related to deploying a data mining-based IDS in a real time environment. We describe our approaches to address three types of issues: accuracy, efficiency, and usability. To improve accuracy, data mining programs are… (More)

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@inproceedings{Lee2001RealTD, title={Real Time Data Mining-based Intrusion Detection}, author={Wenke Lee and Salvatore J. Stolfo and Philip K. Chan and Eleazar Eskin and Wei Fan and Matthew J Miller and Shlomo Hershkop and Junxin Zhang}, year={2001} }