ISOLA : an innovative approach to cyber threat detection in cruise shipping

Pedro Merino Laso (1, 2) , Loic Salmon (2) , Maya Bozhilova (3) , Ivan Ivanov (3) , Nikolai Stoianov (3) , Grigor Velev (3) , Christophe Claramunt (2) , Yantsislav Yanakiev (3)

1 École nationale supérieure maritime
2 IRENAV - Institut de Recherche de l'Ecole Navale
3 Bulgarian Defense Institute

Cruise ships nowadays can carry more than 5,500 passengers and 2200 crew members for an average time of seven days per trip. The cruising industry makes up a large proportion of the tourism market, and demand is on the rise. Despite the large numbers of people on board, crime reporting on cruise ships is so far relatively low. While the ship itself faces security threats, activities on board and on shore provide many opportunities for targets and security flaws to be exploited. With the proliferation of activities and data sensors on board there is an urgent need to develop data fusion algorithms in order to provide a global view of an information environment. The research presented in this paper develops an analysis of current cyber risks at sea, with a specific focus on cruising ships, currently under development with the scope of the H2020 ISOLA project. Several fusion algorithms are described and discussed, while further needs for more secure cyber environments are finally discussed.

Mots clés: Cruise shipping; Cyber threats detection; Maritime awareness; Data fusion

Domaines: Informatique [cs]

Pedro Merino Laso, Loic Salmon, Maya Bozhilova, Ivan Ivanov, Nikolai Stoianov, et al.. ISOLA : an innovative approach to cyber threat detection in cruise shipping. MICRADS 2021, Aug 2021, Carthagène, Colombia. ⟨hal-03365867⟩