A novel intrusion detection method based on OCSVM and K-means recursive clustering

Maglaras, Leandros A. and Jiang, Jianmin (2015) A novel intrusion detection method based on OCSVM and K-means recursive clustering. EAI Endorsed Transactions on Security and Safety.

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Abstract

In this paper we present an intrusion detection module capable of detecting malicious network traffic in a SCADA
(Supervisory Control and Data Acquisition) system, based on the combination of One-Class Support Vector
Machine (OCSVM) with RBF kernel and recursive k-means clustering. Important param

Item Type: Article
Date Deposited: 04 Mar 2026 10:24
Last Modified: 12 Apr 2026 11:09
URI: http://eprints.eai.eu/id/eprint/12512

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