BCDP: A Blockchain-based Credible Data Publishing System

Abstract

With the advent of the era of big data, how to publish electronic data in a manner of credible become a challenge. Traditional data publishing schemes either require a trusted third party (TTP) that is responsible to collect and publish data, or cannot support similar data duplicate detection. The result is that they are vulnerable to distributed denial of service (DDoS) attacks and suffer from an unnecessary waste of storage space. To address the above issue, in this paper, we propose a blockchain-based credible data publishing model (BCDP), which enjoys the properties of decentralized, tamper resistant and anti-DDoS attacks. Then, we construct a two-layer near duplicate detection algorithm with counting bloom filter (CBF) that can detect near duplicate data based on BCDP. In addition, we exploit an academic publishing system based on BCDP, which introduces an academic scoring mechanism to achieve reward and punishment for academic publishing.