Cristin-resultat-ID: 1990240
Sist endret: 10. mars 2022, 14:42
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021

Data Safety, Sources, and Data Flow in the Offshore Industry

Bidragsytere:
  • Thor Myklebust
  • Tor Engebret Onshus
  • Stefan Lindskog
  • Maria Vatshaug Ottermo og
  • Lars Bodsberg

Bok

Proceedings of the 31st European Safety and Reliability Conference
ISBN:
  • 978-981-18-2016-8

Utgiver

Research Publishing Services
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2021
Antall sider: 8
ISBN:
  • 978-981-18-2016-8

Klassifisering

Fagfelt (NPI)

Fagfelt: Tverrfaglig teknologi
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Data Safety, Sources, and Data Flow in the Offshore Industry

Sammendrag

Digitization may provide increased access to and more efficient use of real-time and historical data, internally as well as externally in an organization. However, when information from industrial control systems (ICS) becomes more available in office IT systems and in the "cloud", ICS systems may become more vulnerable and attractive targets for cyberattacks. We have investigated data safety in ICS in the Norwegian offshore sector when data is processed from ICS to the office network. The work is mainly based on document review and nine interviews with selected oil companies, rig companies and service providers of operational data. The paper addresses strengths and threats related to data safety with emphasis on (1) Data sources and data flow, (2) Safety and security of data, (3) Data cleaning and processing, (4) Contextualization, (5) Validation, and (6) Quality assurance. We also discuss shortcomings for functional safety in current standards such as IEC 61508 and IEC 61511 and standard series for security, IEC 62443. It is a major challenge for the industry that there are no good international standards and guidelines that define the relevant terminology across IT systems and ICS. Future work should address data safety challenges when applying artificial intelligence and machine learning in ICS systems.

Bidragsytere

Thor Myklebust

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS

Tor Engebret Onshus

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
Aktiv cristin-person

Stefan Lindskog

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS

Maria Vatshaug Ottermo

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS

Lars Bodsberg

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS
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Resultatet er en del av Resultatet er en del av

Proceedings of the 31st European Safety and Reliability Conference.

Castanier, Bruno; Cepin, Marko; Bigaud, David; Berenguer, Christophe. 2021, Research Publishing Services. Vitenskapelig antologi/Konferanseserie
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