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Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology.
Freire, Warlley Paulo; Melo, Wilson S; do Nascimento, Vinicius D; Nascimento, Paulo R M; de Sá, Alan Oliveira.
Afiliação
  • Freire WP; Adm. Wandenkolk Instruction Center, Brazilian Navy, Rio de Janeiro 20180-003, RJ, Brazil.
  • Melo WS; National Institute of Metrology, Quality, and Technology, Duque de Caxias 25250-020, RJ, Brazil.
  • do Nascimento VD; CISMAR, Brazilian Navy, and COPPE/Sistemas-UFRJ, Rio de Janeiro 21941-972, RJ, Brazil.
  • Nascimento PRM; National Institute of Metrology, Quality, and Technology, Duque de Caxias 25250-020, RJ, Brazil.
  • de Sá AO; LASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
Sensors (Basel) ; 22(13)2022 Jun 29.
Article em En | MEDLINE | ID: mdl-35808390
ABSTRACT
Maritime Domain Awareness (MDA) is a strategic field of study that seeks to provide a coastal country with an effective monitoring of its maritime resources and its Exclusive Economic Zone (EEZ). In this scope, a Maritime Monitoring System (MMS) aims to leverage active surveillance of military and non-military activities at sea using sensing devices such as radars, optronics, automatic Identification Systems (AISs), and IoT, among others. However, deploying a nation-scale MMS imposes great challenges regarding the scalability and cybersecurity of this heterogeneous system. Aiming to address these challenges, this work explores the use of blockchain to leverage MMS cybersecurity and to ensure the integrity, authenticity, and availability of relevant navigation data. We propose a prototype built on a permissioned blockchain solution using HyperLedger Fabric-a robust, modular, and efficient open-source blockchain platform. We evaluate this solution's performance through a practical experiment where the prototype receives sensing data from a Software-Defined-Radio (SDR)-based low-cost AIS receiver built with a Raspberry Pi. In order to reduce scalability attrition, we developed a dockerized blockchain client easily deployed on a large scale. Furthermore, we determined, through extensive experimentation, the client optimal hardware configuration, also aiming to reduce implementation and maintenance costs. The performance results provide a quantitative analysis of the blockchain technology overhead and its impact in terms of Quality of Service (QoS), demonstrating the feasibility and effectiveness of our solution in the scope of an MMS using AIS data.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Blockchain Tipo de estudo: Health_economic_evaluation Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Blockchain Tipo de estudo: Health_economic_evaluation Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil