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Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration

Moura, Ralf Luis de and Gonzalez, Alexandre and Franqueira, Virginia N. L. and Neto, Antonio Lemos Maia and Pessin, Gustavo (2021) Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration. In: Advances in Cybersecurity Management. Springer, Cham, Switzerland, pp. 97-116. ISBN 978-3-030-71380-5. E-ISBN 978-3-030-71381-2. (doi:10.1007/978-3-030-71381-2_6) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:89067)

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Abstract

Large industries usually imply geographically dispersed supply chains composed of facilities localized in diverse regions. These facilities commonly involve operational technology (OT) (i.e., industrial control systems—ICS) and information technology (IT) infrastructures, which require integration to enable information processing. Such integration, achieved through cyber-physical systems, and leveraged by the Industry 4.0 emergence, may transform the industry and facilitate the transformation of vast data volumes into valuable information. Security risks posed by dispersed cyber-physical systems may be substantial, and dealing with cybersecurity issues in such context could be very expensive. This study reviews directives regarding cybersecurity risks in companies with dispersed supply chains and also applicable international cybersecurity standards and regulations to derive a strategy to manage cybersecurity in integrated industrial networks. The strategy proposes centralized services, optimized perimeter segregation, and data flow policies among OT and IT networks to balance the trade-off between a high level of protection with cost-effectiveness.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-030-71381-2_6
Uncontrolled keywords: Cyber-physical systems, Cybersecurity, Industrial networks, Geographically dispersed supply chains, Critical infrastructure, SCADA, ICS
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Virginia Franqueira
Date Deposited: 07 Jul 2021 12:21 UTC
Last Modified: 08 Jul 2021 08:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/89067 (The current URI for this page, for reference purposes)
Moura, Ralf Luis de: https://orcid.org/0000-0002-0170-4056
Franqueira, Virginia N. L.: https://orcid.org/0000-0003-1332-9115
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