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A Triggering Mechanism for Cyber-Attacks in Naval Sensors and Systems.
Leite Junior, Walmor Cristino; de Moraes, Claudio Coreixas; de Albuquerque, Carlos E P; Machado, Raphael Carlos Santos; de Sá, Alan Oliveira.
Afiliación
  • Leite Junior WC; Naval War College, Brazilian Navy, Rio de Janeiro 22290-255, Brazil.
  • de Moraes CC; Naval Systems Analysis Centre, Brazilian Navy, Rio de Janeiro 20091-000, Brazil.
  • de Albuquerque CEP; Ocean Technology Laboratory-LabOceano/COPPE, Federal University of Rio de Janeiro, Rio de Janeiro 21941-907, Brazil.
  • Machado RCS; Institute of Computing, Fluminense Federal University, Niterói 24210-310, Brazil.
  • de Sá AO; Institute of Computing, Fluminense Federal University, Niterói 24210-310, Brazil.
Sensors (Basel) ; 21(9)2021 May 04.
Article en En | MEDLINE | ID: mdl-34064505
In the maritime sector, the integration of radar systems, Automatic Identification System (AIS) and Electronic Chart Display and Information System (ECDIS) through digital technologies enables several benefits to maritime operations, but also make ships prone to cyberattacks. In this context, this work investigates the feasibility of an attacker using a radar system or AIS as open door to remotely send commands to a cyber threat hosted on a ship, even if the ship's systems are air gapped-i.e., are not connected to other networks. The received commands are intended to trigger a cyber threat located in the ship. Although the literature covers several analyzes on cyber risks and vulnerabilities in naval systems, it lacks exploiting mechanisms capable of acknowledging attack commands received through radar and AIS. To this end, this work proposes a triggering mechanism that uses a template matching technique to detect specific patterns transmitted by the attacker to the ship's radar or AIS. The results show the effectiveness of the proposed technique as a tool to acknowledge the received attack commands and activate a malicious code previously installed on the ship. In the case of attacks on a radar system, the accuracy achieved by the proposed method is 0.90. In the case of attacks on an AIS/ECDIS setup it presents an accuracy of 0.93. In both cases the proposed mechanism maintains the due safety against accidental attack activations.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Brasil