Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Riga

Datum konání akce

15. 10. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—