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Communication Dans Un Congrès Année : 2022

Resilience via blackbox self-piloting plants

Résumé

Distributed control is a reality of today's industrial automation and systems. Parts of a system are on-site, and other elements are on the edge of the cloud. The overall system-functioning relies on the reliable operation of local and remote components. However, all system parts can be attacked. Typically, local entities of a cyber-physical system, such as robot arms or conveyor belts, get affected by cyber attacks. However, attacking the control and monitoring channels between a plant and its remote controller is attractive, too. There is a diversity of attacks, such as manipulating a plant's input signals, controller logic, and output signals. To detect and mitigate the impact of such various attacks and to make a plant more resilient, we introduce a self-learning controller proxy in the plant's communication channel to the controller. It acts as a local trust anchor to the commands received from a remote controller. It does black box self-learning of the controller algorithms and audits its operations. Once an attack is detected, the plant pivots into self-piloting mode. We investigate design alternatives for the controller proxy. We evaluate how complex the control algorithms can be to enable self-piloting resilience.
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Dates et versions

hal-04006320 , version 1 (27-02-2023)

Identifiants

  • HAL Id : hal-04006320 , version 1

Citer

Michel Barbeau, Joaquin Garcia‐alfaro, Christian Lübben, Marc-Oliver Pahl, Wüstrich Lars. Resilience via blackbox self-piloting plants. ECW 2022: European Cyber Week, Pôle d’Excellence Cyber, Nov 2022, Rennes, France. pp.35-46. ⟨hal-04006320⟩
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