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e & i Elektrotechnik und Informationstechnik

, Volume 135, Issue 3, pp 278–285 | Cite as

Countering targeted cyber-physical attacks using anomaly detection in self-adaptive Industry 4.0 Systems

  • Giuseppe Settanni
  • Florian Skopik
  • Markus Wurzenberger
  • Roman Fiedler
Orginalarbeit
  • 110 Downloads

Abstract

This paper presents a novel approach to flexibly control the depth of monitoring applied to CPS-enabled safety-critical infrastructures, to timely detect deviations from the desired operational status, and discusses how the application of anomaly detection (AD) techniques can be further leveraged to automatically adapt the security controls of the infrastructure itself.

Keywords

security monitoring log data anomaly detection security metrics self-adaptive system 

Abwehr zielgerichteter cyber-physischer Angriffe mittels Anomalie-Erkennung in selbstadaptiven Industrie-4.0-Systemen

Zusammenfassung

Dieser Beitrag stellt einen neuartigen Ansatz zur flexiblen Steuerung des Grades der Überwachung in CPS-fähigen sicherheitskritischen Infrastrukturen vor, um Abweichungen vom gewünschten Betriebszustand rechtzeitig zu erkennen, und diskutiert, wie die Anwendung von Anomalie-Erkennungstechniken genutzt werden kann, um die Sicherheitskontrollen der Infrastruktur automatisch anzupassen.

Schlüsselwörter

Sicherheitsüberwachung Log-Daten Anomalie-Erkennung Sicherheits-Metriken selbstadaptive Systeme 

Notes

Acknowledgements

This work was partly funded by the Austrian FFG research project synERGY (855457) and the European ECSEL project SEMI 4.0 (692466).

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Copyright information

© Springer-Verlag GmbH Austria, ein Teil von Springer Nature 2018

Authors and Affiliations

  • Giuseppe Settanni
    • 1
  • Florian Skopik
    • 1
  • Markus Wurzenberger
    • 1
  • Roman Fiedler
    • 1
  1. 1.Center for Digital Safety and SecurityAIT Austrian Institute of TechnologyViennaAustria

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