Communication Dans Un Congrès Année : 2013

Intrusion Detection in SCADA Systems Using One-Class Classification

Résumé

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 SupportVector 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.

Fichier principal
Vignette du fichier
13.eusipco.monoclass.pdf (929.34 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-01966009 , version 1 (27-12-2018)

Licence

Identifiants

  • HAL Id : hal-01966009 , version 1

Citer

Patric Nader, Paul Honeine, Pierre Beauseroy. Intrusion Detection in SCADA Systems Using One-Class Classification. Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5. ⟨hal-01966009⟩
152 Consultations
346 Téléchargements

Partager

  • More