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2022 Journal Impact Factor - 0.6
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ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
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
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.
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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: Scopus icon23976166100 Scholar iconnj-uIMUAAAAJ
Philip Craiger: Scopus icon23666920900 Scholar icon9BoltZQAAAAJ
Jon C. Haass: Scholar icon-s4XeE4AAAAJ

Other publications of authors:

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