INTRUSION DETECTION IN SCADA SYSTEMS USING ONE-CLASS CLASSIFICATION

被引：0

作者：

Nader, Patric ^{[1
]}

Honeine, Paul ^{[1
]}

Beauseroy, Pierre ^{[1
]}

机构：

[1] Univ Technol Troyes, CNRS, Inst Charles Delaunay, Troyes, France

来源：

2013 PROCEEDINGS OF THE 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2013年

关键词：

One-class classification; intrusion detection; kernel methods; novelty detection; SCADA systems; KERNEL; SUPPORT;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Supervisory Control and Data Acquisition (SCADA) systems allow remote monitoring and control of critical infrastructures such as electrical power grids, gas pipelines, nuclear power plants, etc. Cyberattacks threatening these infrastructures may cause serious economic losses and may impact the health and safety of the employees and the citizens living in the area. The diversity of cyberattacks and the complexity of the studied systems make modeling cyberattacks very difficult or even impossible. This paper outlines the importance of one-class classification in detecting intrusions in SCADA systems. Two approaches are investigated, the Support Vector Data Description and the Kernel Principal Component Analysis. A case study on a gas pipeline testbed is provided with real data containing many types of cyberattacks.

引用

页数：5

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