Remote Manufacturing in Untrusted Domains

This paper addresses the challenge of maintaining the security of manufacturing systems in untrusted environments by proposing a novel approach that separates the physical production equipment from its control logic. The proposed solution ensures that corporate know-how is protected even if the physical factory is compromised. This is achieved by remotely controlling the factory from a secure and trusted location while obfuscating the communication between the control systems and production equipment. The methodology includes random seed generation and exchange, masking status and control messages, introducing random shifts in trajectory positions, and utilizing alternate trajectories to obscure the manufacturing logic. The viability of the proposed concept is validated through a simulated scenario, demonstrating its potential to enhance cybersecurity in cyber-physical systems.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/cando-epe65072.2024.10772827
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
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article

Remote Manufacturing in Untrusted Domains

Mátyás Andó, Géza Szabó, Sándor Laki, Csaba Györgyi et al.
Additive Manufacturing and 3D Printing Technologies
article

Remote Manufacturing in Untrusted Domains

Mátyás Andó, Géza Szabó, Sándor Laki, Csaba Györgyi, Károly Kecskeméti, Péter Vörös, Tamás Pepó, István Komlósi
article en

Abstract

This paper addresses the challenge of maintaining the security of manufacturing systems in untrusted environments by proposing a novel approach that separates the physical production equipment from its control logic. The proposed solution ensures that corporate know-how is protected even if the physical factory is compromised. This is achieved by remotely controlling the factory from a secure and trusted location while obfuscating the communication between the control systems and production equipment. The methodology includes random seed generation and exchange, masking status and control messages, introducing random shifts in trajectory positions, and utilizing alternate trajectories to obscure the manufacturing logic. The viability of the proposed concept is validated through a simulated scenario, demonstrating its potential to enhance cybersecurity in cyber-physical systems.

Eötvös Loránd University (HU), Ericsson (Hungary) (HU)
Openalex Percentile: Top 73%
Additive Manufacturing and 3D Printing Technologies
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