Building a Virtual Maritime Logistics Cybersecurity Training Platform

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Purpose: This paper proposes how cyber ranges, which are simulation environments and platforms, can be used for cybersecurity training to reduce the vulnerability surface of the maritime supply chain caused by cyberthreat challenges. An additional benefit to conducting exercises for personnel with realistic environments is that unseen problems can be detected when training with different scenarios.
    Methodology: This study aims to create a holistic model for a cyber range training environment customized for the port/maritime logistics sector by simulating the actual operational environment. The research combines cybersecurity and risk management with the special requirements of maritime logistics. The methods used were a literature review and a workshop and interview setup with cybersecurity, risk management and maritime professionals.
    Findings: The demand for high-level resilience in global maritime supply chains, in addition to better business continuity management, is becoming increasingly important as global markets seek rapid responses to change. There are various new emerging technologies in the pipeline, which are rapidly gaining popularity in the logistics and supply chain management context. Cybersecurity preparedness is therefore essential.
    Originality: Organizational and individual cybersecurity preparedness can be improved when individuals have access to hands-on training with realistic cyber exercise scenarios that cover different levels of interactions and triggers/injects in the actual environment. The training scheme focuses on training both technical and non-technical staff to provide extensive coverage of cyber awareness.
    Original languageEnglish
    Title of host publicationProceedings of the Hamburg International Conference of Logistics (HICL)
    Subtitle of host publication Data science and innovation in supply chain management
    EditorsWolfgang Kersten, Thorsten Blecker, Christian M. Ringle
    Pages223-246
    ISBN (Electronic)978-3-753123-46-2
    DOIs
    Publication statusPublished - Sep 2020
    MoE publication typeA4 Article in a conference publication
    EventHamburg International Conference of Logistics (HICL) 2020 - Hamburg, Germany
    Duration: 23 Sep 202025 Sep 2020

    Publication series

    SeriesProceedings of the Hamburg International Conference of Logistics (HICL)
    Volume29
    ISSN2635-4430

    Conference

    ConferenceHamburg International Conference of Logistics (HICL) 2020
    Abbreviated titleHICL2020
    CountryGermany
    CityHamburg
    Period23/09/2025/09/20

    Keywords

    • Logistics
    • industry 4.0
    • Supply chain management
    • Data Science
    • Digitalization
    • innovation

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