Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245935" target="_blank" >RIV/61989100:27240/20:10245935 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9259293" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9259293</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITMS51158.2020.9259293" target="_blank" >10.1109/ITMS51158.2020.9259293</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System
Original language description
In this paper, a cyber-security problem is addressed concerning the use of the universal shipborne automatic identification system (AIS). Currently, it is widely used in marine navigation because of the obligatory requirement of IMO (International Maritime Organization) to enhance the ability for identifying a target and to improve marine safety and security in near real-time. Besides vessel identification, the AIS system is used for marine navigation, including collision avoidance, maritime security, and monitoring and accident investigations. Therefore, it is extremely important to ensure the reliability and security of AIS data in organizations responsible for safety and security. In this paper, the vulnerability of the AIS system is investigated, how to detect unusual behavior of vessels based on the AIS statistical data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings
ISBN
978-1-72819-105-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Riga
Event date
Oct 15, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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