Review on Semantic Modeling and Simulation of Cybersecurity and Interoperability on the Internet of Underwater Things

Konstantinos Kotis (), Stavros Stavrinos and Christos Kalloniatis
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Konstantinos Kotis: Department of Cultural Technology and Communication, University of the Aegean, University Hill, 81100 Mytilene, Greece
Stavros Stavrinos: Department of Cultural Technology and Communication, University of the Aegean, University Hill, 81100 Mytilene, Greece
Christos Kalloniatis: Department of Cultural Technology and Communication, University of the Aegean, University Hill, 81100 Mytilene, Greece

Future Internet, 2022, vol. 15, issue 1, 1-35

Abstract: As maritime and military missions become more and more complex and multifactorial over the years, there has been a high interest in the research and development of (autonomous) unmanned underwater vehicles (UUVs). Latest efforts concern the modeling and simulation of UUVs’ collaboration in swarm formations, towards obtaining deeper insights related to the critical issues of cybersecurity and interoperability. The research topics, which are constantly emerging in this domain, are closely related to the communication, interoperability, and secure operation of UUVs, as well as to the volume, velocity, variety, and veracity of data transmitted in low bit-rate due to the medium, i.e., the water. This paper reports on specific research topics in the domain of UUVs, emphasizing interoperability and cybersecurity in swarms of UUVs in a military/search-and-rescue setting. The goal of this work is two-fold: a) to review existing methods and tools of semantic modeling and simulation for cybersecurity and interoperability on the Internet of Underwater Things (IoUT), b) to highlight open issues and challenges, towards developing a novel simulation approach to effectively support critical and life-saving decision-making of commanders of military and search-and-rescue operations.

Keywords: IoUT; UUVs; swarm; interoperability; semantics; cybersecurity; simulation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
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