Konferenzbeitrag

An adaptive supply chain cyber risk management methodology

Maritime information infrastructures have developed to highly interrelated cyber ecosystems, where ports as well as their partners are connected in dynamic Information and Communication Technology (ICT)-based maritime supply chains. This makes them open and vulnerable to the rapidly changing ICT threat landscape. Hence, attacks on a seemingly isolated system of one business partner may propagate through the whole supply chain, causing cascading effects and resulting in large-scale impacts. In this article, we want to present a novel risk management methodology to assess the risk level of an entire maritime supply chain. This methodology builds upon publicly available information, well-defined mathematical approaches and best practices to automatically identify and assess vulnerabilities and potential threats of the involved cyber assets. This leads to a constantly updated risk evaluation of each business partner's cyber assets together with their cyber interconnections with other business partners. The presented risk management methodology is based on qualitative risk scales, which makes the assessment as well as the results more intuitive. Furthermore, it enables a holistic view on all of the integrated ICT-systems as well as their interdependencies and thus can increase the security level of both a whole supply chain and every participating business partner.

Sprache
Englisch

Erschienen in
10419/209192

Klassifikation
Management
Thema
IT security
cyber risk management
cyber risk assessment
maritime supply chains

Ereignis
Geistige Schöpfung
(wer)
Schauer, Stefan
Stamer, Martin
Bosse, Claudia
Pavlidis, Michalis
Mouratidis, Haralambos
König, Sandra
Papastergiou, Spyros
Ereignis
Veröffentlichung
(wer)
epubli GmbH
(wo)
Berlin
(wann)
2017

DOI
doi:10.15480/882.1491
Handle
URN
urn:nbn:de:gbv:830-88217359
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Schauer, Stefan
  • Stamer, Martin
  • Bosse, Claudia
  • Pavlidis, Michalis
  • Mouratidis, Haralambos
  • König, Sandra
  • Papastergiou, Spyros
  • epubli GmbH

Entstanden

  • 2017

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