A Probe into Process-Level Attack Detection in Industrial Environments from a Side-Channel Perspective
Paper i proceeding, 2019

Process-level detection of cyberattacks on industrial controlsystems pertain to observing the physical process to detectimplausible behavior. State-of-the-art techniques identify abaseline of the normal process behavior from historical mea-surements and then monitor the system operation in realtime to detect deviations from the baseline. Evidently, thesetechniques are intended to be connected to the control flowto be able to acquire and analyze the necessary measure-ment data, which makes them susceptible to compromiseby the attacker. In this paper, we approach process-levelattack detection from a side-channel perspective, where weinvestigate the feasibility and efficacy of monitoring indus-trial machines through external sensors. The sensors measurephysical properties of the process that are bound to changenoticeably during a cyberattack. We demonstrate the viabil-ity of our approach through simulations and experiments onreal industrial machines.

Embedded System

Industrial Control System

Anomaly Detection

Industrial Environment



Wissam Aoudi

Chalmers, Data- och informationsteknik, Nätverk och system

Albin Hellqvist

Chalmers tekniska högskola

Albert Overland

Chalmers tekniska högskola

Magnus Almgren

Chalmers, Data- och informationsteknik, Nätverk och system

5th Annual Industrial Control Systems Workshop

Säkra IT-system för drift och övervakning av samhällskritisk infrastruktur

Myndigheten för samhällsskydd och beredskap, 2015-09-01 -- 2020-08-31.


Produktionsteknik, arbetsvetenskap och ergonomi

Övrig annan teknik

Robotteknik och automation

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