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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
A Taxonomy Framework for Maritime Cybersecurity: A Demonstration Using the Automatic Identification System
1 Embry-Riddle Aeronautical University, FL, Daytona Beach, United States
2 Embry-Riddle Aeronautical University, AZ, Prescott, United States
2 Embry-Riddle Aeronautical University, AZ, Prescott, United States
ABSTRACT: The maritime transportation system is increasingly a target of cyber attacks. This paper describes a taxonomy that supports the creation of adversarial cyber models, risk mitigation, and resiliency plans as applied to the maritime industry, using the Automatic Identification System as a specific illustration of the approach. This method has already been applied to the aviation sector; retooling it for a maritime example demonstrates its broad applicability to the transportation sector, in general.
KEYWORDS: Automatic Identification System (AIS), Taxonomy, Taxonomy Framework, Cyber Attack, Maritime Transportation System, Risk Mitigation, Cyber Security, Maritime Cyber Security
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Citation note:
Kessler G.C., Craiger J.P., Haass J.C.: A Taxonomy Framework for Maritime Cybersecurity: A Demonstration Using the Automatic Identification System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 12, No. 3, doi:10.12716/1001.12.03.01, pp. 429-437, 2018
Authors in other databases:
Gary C. Kessler:
23976166100
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Philip Craiger:
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Jon C. Haass:
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