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Preemptive: an integrated approach to intrusion detection and prevention in industrial control systems

Author

Listed:
  • Estefanía Etchevés Miciolino
  • Dario Di Noto
  • Federico Griscioli
  • Maurizio Pizzonia
  • Jörg Kippe
  • Steffen Pfrang
  • Xavier Clotet
  • Gladys León
  • Fatai Babatunde Kassim
  • David Lund
  • Elisa Costante

Abstract

Cyber-security of industrial control systems (ICSs) is notoriously hard due to the peculiar constraints of the specific context. At the same time, the use of specifically crafted malware to target ICSs is an established offensive mean for opposing organisations, groups, or countries. We provide an overview of the results attained by the Preemptive project to improve the cyber-security of ICSs. Preemptive devised several integrated tools for detection and prevention of intrusions in this context. It also provides a way to correlate many small events giving rise to more significant ones, and shows the whole cybersecurity state to the user by means of specific human-machine interfaces.

Suggested Citation

  • Estefanía Etchevés Miciolino & Dario Di Noto & Federico Griscioli & Maurizio Pizzonia & Jörg Kippe & Steffen Pfrang & Xavier Clotet & Gladys León & Fatai Babatunde Kassim & David Lund & Elisa Cost, 2017. "Preemptive: an integrated approach to intrusion detection and prevention in industrial control systems," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 13(2/3), pages 206-237.
    • Handle: RePEc:ids:ijcist:v:13:y:2017:i:2/3:p:206-237
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    Cited by:

    1. Clotet, Xavier & Moyano, José & León, Gladys, 2018. "A real-time anomaly-based IDS for cyber-attack detection at the industrial process level of Critical Infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 11-20.

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