Research Problems and Methods in Blockchain and Trusted Data Management

Wei Ning Qian, Qi Feng Shao, Yan Chao Zhu, Che Qing Jin, Ao Ying Zhou

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

As a supporting technology of Bitcoin for decentralized ledger management, blockchain has gain much attention in financial domain. Blockchain achieves trusted data management in not fully trusted computation environments. It has the advantage of decentralization, immutability, strong consistency and integrity, however, also suffers from poor performance with high latency and low throughput. With ever growing Internet technology and applications, the success of blockchain technology in cryptocurrency may shed light on the research of new trusted data management theories, technologies and systems. This paper introduces the blockchain related technologies, including distributed consensus, smart contract and data provenance, from the perspective of trusted data management. The requirements and research challenges of trusted data management are also analyzed.

Original languageEnglish
Pages (from-to)150-159
Number of pages10
JournalRuan Jian Xue Bao/Journal of Software
Volume29
Issue number1
DOIs
StatePublished - 2018

Keywords

  • Blockchain
  • Data provenance
  • Distributed consensus
  • Smart contract
  • Trusted data management

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