| Autor: |
Sestrem Ochôa I; Laboratory of Embedded and Distributed Systems-LEDS, University of Vale do Itajaí, Itajaí-SC 88302-901, Brazil. iago.ochoa@edu.univali.br.; Departamento de Informática e Redes de Computadores, Instituto Federal Catarinense (IFC), Brusque 88354-300, Brazil. iago.ochoa@edu.univali.br., Silva LA; Laboratory of Embedded and Distributed Systems-LEDS, University of Vale do Itajaí, Itajaí-SC 88302-901, Brazil. luis.silva@edu.univali.br., de Mello G; Laboratory of Embedded and Distributed Systems-LEDS, University of Vale do Itajaí, Itajaí-SC 88302-901, Brazil. gabrieldemello@edu.univali.br., Alves da Silva B; Laboratory of Embedded and Distributed Systems-LEDS, University of Vale do Itajaí, Itajaí-SC 88302-901, Brazil. silvabruno@edu.univali.br., de Paz JF; Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37008 Salamanca, Spain. fcofds@usal.es., Villarrubia González G; Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37008 Salamanca, Spain. gvg@usal.es., Garcia NM; Departamento de Informática, Universidade da Beira Interior, 6201-001 Covilhã, Portugal. ngarcia@di.ubi.pt.; Instituto de Telecomunicações, Universidade da Beira Interior, 6201-001 Covilhã, Portugal. ngarcia@di.ubi.pt., Reis Quietinho Leithardt V; Laboratory of Embedded and Distributed Systems-LEDS, University of Vale do Itajaí, Itajaí-SC 88302-901, Brazil. valderi.leithardt@ubi.pt.; Departamento de Informática, Universidade da Beira Interior, 6201-001 Covilhã, Portugal. valderi.leithardt@ubi.pt.; COPELABS, Universidade Lusófona de Humanidades e Tecnologias, 1749-024 Lisboa, Portugal. valderi.leithardt@ubi.pt. |
| Abstrakt: |
With the popularization of the Internet-of-Things, various applications have emerged to make life easier. These applications generate a large amount of user data. Analyzing the data obtained from these applications, one can infer personal information about each user. Considering this, it is clear that ensuring privacy in this type of application is essential. To guarantee privacy various solutions exist, one of them is UbiPri middleware. This paper presents a decentralized implementation of UbiPri middleware using the Ethereum blockchain. Smart contracts were used in conjunction with a communication gateway and a distributed storage service to ensure users privacy. The results obtained show that the implementation of this work ensures privacy at different levels, data storage security, and performance regarding scalability in the Internet of Things environments. |
