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PLCDefender: Improving Remote Attestation Techniques for PLCs Using Physical Model
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DOI：10.1109/JIOT.2020.3040237.png)
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Abstract
En 中文
In order to guarantee the security of industrial control system (ICS) processes, the proper functioning of the programmable logic controllers (PLCs) must be ensured. In particular, cyberattacks can manipulate the PLC control logic program and cause terrible damage that jeopardize people's life when bringing the state of the critical system into an unreliable state. Unfortunately, no remote attestation technique has yet been proposed that can validate the PLC control logic program using a physics-based model that demonstrates device behavior. In this article, we propose PLCDefender, a mitigation method that combines hybrid remote attestation technique with a physics-based model to preserve the control behavior integrity of ICS. We implemented PLCDefender and evaluated its effectiveness against a wide range of attacks on a secure water treatment facility. As our evaluation shows, we can model PLC physical behavior with accuracy as high as 98%. The evaluation results show that by determining the different threshold values, PLCDefender can accurately detect a wide range of attack scenarios on PLCs.
Keywords:
Integrated circuits
Internet of Things
Actuators
Process control
Mathematical model
Predictive models
Hardware
Anomaly detection
behavior-based attestation
Internet of Things (IoT)
physics-based model
programmable logic controllers (PLCs)
remote attestation
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