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Identification and Localization of Cyber-Attacks in Industrial Facilities

Reibelt, Kathrin; Matthes, Jörg; Keller, Hubert B.; Hagenmeyer, Veit

Abstract (englisch):

A new method for improving cyber-security of interconnected smart components of industrial systems is introduced and evaluated. Since usual informational security measures are often bypassed (in spite of existing IT security measures), the new proposed method
is based on physical models for detecting manipulations resulting from cyber-attacks. The method builds on and goes beyond traditional ways of Data Reconciliation used in chemical facilities by extending it using prior knowledge on informational properties of components. Thereby, our approach is not restricted to a specific attacker model, which is a significant advantage for the detection of unknown cyber-attacks. The attack detection using the new method is demonstrated using the example of a cooling circuit - as it may be found in chemical processing facilities. Receiver operating characteristics (ROC-curves) are used to show and to quantify the improvement provided by our new method over the performance of traditional Data Reconciliation.

Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 27.08.2020
Sprache Englisch
Identifikator ISBN: 978-0-12-823377-1
ISSN: 1570-7946
KITopen-ID: 1000123264
HGF-Programm 34.14.02 (POF III, LK 01) Vergasung
Erschienen in ESCAPE 30, 30th European Symposium on Computer Aided Process Engineering, Milan, Italy, 30 August 2020 – 2 September 2020. Ed.: S. Pierucci
Auflage 1
Verlag Elsevier
Seiten 1747 - 1752
Serie Computer-Aided Chemical Engineering ; 47
Projektinformation KASTEL_SKI (BMBF, 16KIS0843)
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt
Schlagwörter cyber-security, Data Reconciliation, industry 4.0, cyber-physical systems
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