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Employing Redundancy to Leverage Cybersecurity Protection of Safety-Critical Systems
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Teoretisk datalogi, TCS.ORCID-id: 0009-0000-3916-1707
2023 (Engelska)Ingår i: Proceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023, s. 282-287Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Safety-critical systems become increasingly open and interconnected, which makes them a target of various cyberattacks. Such cyberattacks might jeopardise system safety and availability. Many safety-critical systems, such as railways, have a very long life cycle and hence, a large number of legacy components. The implementation of modern security protection mechanisms is often restricted due to the rigidness of legacy architecture and high re-certification costs. Therefore, it is desirable to efficiently utilise the potential already present in the system and enhance cybersecurity protection without major modifications. Safety-critical systems usually contain a high degree of redundancy required to achieve fault tolerance. In this paper, we investigate how to utilise redundancy to enhance cybersecurity protection. We demonstrate that by introducing diversity in the redundant architectures and implementing security monitoring, we can potentially enhance cybersecutiry protection of safety-critical systems.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE) , 2023. s. 282-287
Nyckelord [en]
cyberattacks, dependability, fault tolerance, redundancy, safety
Nationell ämneskategori
Datorsystem Inbäddad systemteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-341620DOI: 10.1109/DSA59317.2023.00041Scopus ID: 2-s2.0-85179507604OAI: oai:DiVA.org:kth-341620DiVA, id: diva2:1822829
Konferens
10th International Conference on Dependable Systems and Their Applications, DSA 2023, Tokyo, Japan, Aug 10 2023 - Aug 11 2023
Anmärkning

Part of ISBN 9798350304770

QC 20231228

Tillgänglig från: 2023-12-28 Skapad: 2023-12-28 Senast uppdaterad: 2025-01-17Bibliografiskt granskad

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Troubitsyna, Elena

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