Evaluating SLIM-based human error probability for ECDIS cybersecurity in maritime

Gizem Kayisoglu*, Pelin Bolat, Kimberly Tam

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

There is an undeniable recognition that maritime cybersecurity risk management should involve process, technology, and people. However, thus far, most studies have focused on the technical and process aspects of maritime cybersecurity, more than on the human element. On a vessel, the Electronic Chart Display and Information System (ECDIS) is, amongst all the electronic devices on the bridge, a complex and indispensable maritime sociotechnical system that must consider both technical and human aspects. In the context of maritime cyber resilience, it is important to note that when developing strategies for maritime cybersecurity, one cannot only consider technical security measures and ignore human error, as this does not adhere to good cybersecurity practice. To address this, this study aims to identify the navigating officers' responsibilities for ECDIS cybersecurity and find the human error probabilities during these tasks via the SLIM-based human reliability analysis method. The outputs of this study provide an insight for industrial policies and best practices, in ECDIS cybersecurity risk management in terms of the behavioural and cultural aspects of shipping.

Original languageEnglish
Pages (from-to)1364-1388
Number of pages25
JournalJournal of Navigation
Volume75
Issue number6
DOIs
Publication statusPublished - 5 Nov 2022

Bibliographical note

Publisher Copyright:
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation.

Funding

This study is supported by The Scientific and Technological Research Council of Turkey (TÜBİTAK) - 2214-A – International Research Fellowship Programme for PhD Students [REF: 53325897-115.02-152823]. This study is also supported by University of Plymouth, Cyber-SHIP Lab.

FundersFunder number
Plymouth University
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu53325897-115.02-152823

    Keywords

    • ECDIS cybersecurity
    • SLIM
    • human error probability
    • maritime cybersecurity

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