TY - GEN
T1 - VChain
T2 - 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020
AU - Wang, Haixin
AU - Xu, Cheng
AU - Zhang, Ce
AU - XU, Jianliang
N1 - Funding Information:
This work is supported by Research Grants Council of Hong Kong under GRF Projects 12201018 & 12200819 and CRF Project C1008-16G.
PY - 2020/6/14
Y1 - 2020/6/14
N2 - This demonstration presents vChain, a blockchain system that ensures query integrity. With the proliferation of blockchain applications and services, there has been an increasing demand for querying the data stored in a blockchain database. However, existing solutions either are at the risk of losing query integrity, or require users to maintain a full copy of the blockchain database. In comparison, by employing a novel verifiable query processing framework, vChain enables a lightweight user to authenticate the query results returned from a potentially untrusted service provider. We demonstrate its verifiable query operations, usability, and performance with visualization for better insights. We also showcase how users can detect falsified results in the case that the service provider is compromised.
AB - This demonstration presents vChain, a blockchain system that ensures query integrity. With the proliferation of blockchain applications and services, there has been an increasing demand for querying the data stored in a blockchain database. However, existing solutions either are at the risk of losing query integrity, or require users to maintain a full copy of the blockchain database. In comparison, by employing a novel verifiable query processing framework, vChain enables a lightweight user to authenticate the query results returned from a potentially untrusted service provider. We demonstrate its verifiable query operations, usability, and performance with visualization for better insights. We also showcase how users can detect falsified results in the case that the service provider is compromised.
KW - blockchain
KW - data integrity
KW - query processing
UR - http://www.scopus.com/inward/record.url?scp=85086231561&partnerID=8YFLogxK
U2 - 10.1145/3318464.3384682
DO - 10.1145/3318464.3384682
M3 - Conference contribution
AN - SCOPUS:85086231561
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 2693
EP - 2696
BT - SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
PB - Association for Computing Machinery
Y2 - 14 June 2020 through 19 June 2020
ER -