A Secure Personal-Data Trading System Based on Blockchain, Trust, and Reputation

Autor(es)

Camilo, Gustavo F. ; Rebello, Gabriel Antonio F. ; de Souza, Lucas Airam C. ; Duarte, Otto Carlos M. B. ; IEEE Comp Soc

• Tipo de documento: Artigo Científico
• Fonte: 2020 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2020); v. N/A, p. 6-pg., 2020-01-01.

Resumo

Every citizen has the right to privacy and, therefore, the right to control their personal information, deciding to whom, when, and where their information is available. This paper proposes a secure, agile, and effective system for a distributed, automatic, and transparent data trading between domains using blockchain, smart contracts, trust, and reputation. We develop and implement a prototype of a trust and reputation system based on real-life interactions. The results show that the proposed system provides security and privacy in a quick and distributed way, performing hundreds of transactions per second, and effectively punishing malicious behavior. (AU)

• Processo FAPESP: 18/23292-0 - Projeto ACCRUE-SFI: infraestrutura avançada e colaborativa de pesquisa para internet do futuro segura
• Beneficiário: Otto Carlos Muniz Bandeira Duarte
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/24485-9 - Internet do futuro aplicada a cidades inteligentes
• Beneficiário: Fabio Kon
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 14/50937-1 - INCT 2014: da Internet do Futuro
• Beneficiário: Fabio Kon
• Modalidade de apoio: Auxílio à Pesquisa - Temático