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

被引：12

作者：

Camilo, Gustavo F. ^{[1
]}

Rebello, Gabriel Antonio F. ^{[1
]}

de Souza, Lucas Airam C. ^{[1
]}

Duarte, Otto Carlos M. B. ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro UFRJ, Grp Teleinformat & Automacao GTA COPPE, Rio De Janeiro, Brazil

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2020) | 2020年

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

10.1109/Blockchain50366.2020.00055

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：379 / 384

页数：6

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