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12 J. Transp. Sec. 1 (2019)

handle is hein.journals/jtransps12 and id is 1 raw text is: Journal of Transportation Security (2019) 12:1-35
https://doi.org/10.1007/s12198-018-0195-z
CmrssMark
MITIGATE: a dynamic supply chain cyber risk
assessment methodology
Stefan Schauer'     Nineta Polemi2 - Haralambos Mouratidis3
Received: 7 August 2017 /Accepted: 25 July 2018 /Published online: 1 September 2018
O Springer Science+Business Media, LLC, part of Springer Nature 2018, corrected publication 2018
Abstract
Modern port infrastructures have become highly dependent on the operation of com-
plex, dynamic ICT-based maritime supply chains. This makes them open and vulner-
able to the rapidly changing ICT threat landscape and many ports are not yet fully
prepared for that. Furthermore, these supply chains represent a highly interrelated cyber
ecosystem, in which a plethora of distributed ICT systems of various business partners
interact with each other. Due to these interrelations, isolated threats and vulnerabilities
within a system of a single business partner may propagate and have cascading effects
on multiple other systems, thus resulting in a large-scale impact on the whole supply
chain. In this context, this article proposes a novel evidence-driven risk assessment
methodology, i.e., the MITIGATE methodology, to analyze the risk level of the whole
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. As a major
benefit, the methodology provides a constantly updated risk evaluation not only of all
cyber assets within each business partner in the supply chain but also of the cyber
interconnections among those business partners. Additionally, the whole process is
based on qualitative risk scales, which makes the assessment as well as the results more
intuitive. The main goal of the MITIGATE methodology is to support the port
authorities as well as the risk officers of all involved business partners.
W Stefan Schauer
stefan.schauer@ait.ac.at
Nineta Polemi
dpolemi@gmail.com
Haralambos Mouratidis
H.Mouratidis @brighton.ac.uk
Austrian Institute of Technology, Klagenfurt, Austria
2  European Commission, Brussels, Belgium
3  School of Computing, Engineering and Mathematics, University of Brighton, Brighton, UK

4_ Springer

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