Blockchain PG: Enabling Authenticated Query and Trace Query in Database

Qingxing Guo; Sijia Deng; Lei Cai; Yanchao Zhu; Zhao Zhang; Cheqing Jin

doi:10.1007/978-3-030-60290-1_41

Blockchain PG: Enabling Authenticated Query and Trace Query in Database

Qingxing Guo
, Sijia Deng
, Lei Cai
, Yanchao Zhu
, Zhao Zhang^*
, Cheqing Jin

^*Corresponding author for this work

School of Data Science and Engineering

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Blockchain comes under the spotlight for successfully implementing a tamper-resistant ledger among multiple untrusted participants. The widespread adoption of blockchain in data-intensive applications has led to the demand for querying data stored in blockchain databases. However, compared to traditional databases, current blockchain systems cannot offer efficient queries. Moreover, migrating the original business supported by traditional databases to blockchain systems takes a long time and costs a lot. Motivated by this, we design and implement Blockchain PG, a novel data management system built on a legacy system. The system architecture applies to most databases system. By establishing a trusted relationship between the database and the client, Blockchain PG not only guarantees that the existing legacy system will not be greatly affected, but also achieves the data integrity and correctness by authenticated query, and the traceability of data by trace query.

Original language	English
Title of host publication	Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings
Editors	Xin Wang, Rui Zhang, Young-Koo Lee, Le Sun, Yang-Sae Moon
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	529-534
Number of pages	6
ISBN (Print)	9783030602895
DOIs	https://doi.org/10.1007/978-3-030-60290-1_41
State	Published - 2020
Event	4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020 - Tianjin, China Duration: 18 Sep 2020 → 20 Sep 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12318 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020
Country/Territory	China
City	Tianjin
Period	18/09/20 → 20/09/20

Keywords

Authenticated query
Blockchain
MBtree
Trace query

Access to Document

10.1007/978-3-030-60290-1_41

Cite this

Guo, Q., Deng, S., Cai, L., Zhu, Y., Zhang, Z., & Jin, C. (2020). Blockchain PG: Enabling Authenticated Query and Trace Query in Database. In X. Wang, R. Zhang, Y.-K. Lee, L. Sun, & Y.-S. Moon (Eds.), Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings (pp. 529-534). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12318 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60290-1_41

Guo, Qingxing ; Deng, Sijia ; Cai, Lei et al. / Blockchain PG : Enabling Authenticated Query and Trace Query in Database. Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings. editor / Xin Wang ; Rui Zhang ; Young-Koo Lee ; Le Sun ; Yang-Sae Moon. Springer Science and Business Media Deutschland GmbH, 2020. pp. 529-534 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Blockchain PG: Enabling Authenticated Query and Trace Query in Database",

abstract = "Blockchain comes under the spotlight for successfully implementing a tamper-resistant ledger among multiple untrusted participants. The widespread adoption of blockchain in data-intensive applications has led to the demand for querying data stored in blockchain databases. However, compared to traditional databases, current blockchain systems cannot offer efficient queries. Moreover, migrating the original business supported by traditional databases to blockchain systems takes a long time and costs a lot. Motivated by this, we design and implement Blockchain PG, a novel data management system built on a legacy system. The system architecture applies to most databases system. By establishing a trusted relationship between the database and the client, Blockchain PG not only guarantees that the existing legacy system will not be greatly affected, but also achieves the data integrity and correctness by authenticated query, and the traceability of data by trace query.",

keywords = "Authenticated query, Blockchain, MBtree, Trace query",

author = "Qingxing Guo and Sijia Deng and Lei Cai and Yanchao Zhu and Zhao Zhang and Cheqing Jin",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020 ; Conference date: 18-09-2020 Through 20-09-2020",

year = "2020",

doi = "10.1007/978-3-030-60290-1\_41",

language = "英语",

isbn = "9783030602895",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "529--534",

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Guo, Q, Deng, S, Cai, L, Zhu, Y, Zhang, Z & Jin, C 2020, Blockchain PG: Enabling Authenticated Query and Trace Query in Database. in X Wang, R Zhang, Y-K Lee, L Sun & Y-S Moon (eds), Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12318 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 529-534, 4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020, Tianjin, China, 18/09/20. https://doi.org/10.1007/978-3-030-60290-1_41

Blockchain PG: Enabling Authenticated Query and Trace Query in Database. / Guo, Qingxing; Deng, Sijia; Cai, Lei et al.
Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings. ed. / Xin Wang; Rui Zhang; Young-Koo Lee; Le Sun; Yang-Sae Moon. Springer Science and Business Media Deutschland GmbH, 2020. p. 529-534 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12318 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Blockchain PG

T2 - 4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020

AU - Guo, Qingxing

AU - Deng, Sijia

AU - Cai, Lei

AU - Zhu, Yanchao

AU - Zhang, Zhao

AU - Jin, Cheqing

PY - 2020

Y1 - 2020

N2 - Blockchain comes under the spotlight for successfully implementing a tamper-resistant ledger among multiple untrusted participants. The widespread adoption of blockchain in data-intensive applications has led to the demand for querying data stored in blockchain databases. However, compared to traditional databases, current blockchain systems cannot offer efficient queries. Moreover, migrating the original business supported by traditional databases to blockchain systems takes a long time and costs a lot. Motivated by this, we design and implement Blockchain PG, a novel data management system built on a legacy system. The system architecture applies to most databases system. By establishing a trusted relationship between the database and the client, Blockchain PG not only guarantees that the existing legacy system will not be greatly affected, but also achieves the data integrity and correctness by authenticated query, and the traceability of data by trace query.

AB - Blockchain comes under the spotlight for successfully implementing a tamper-resistant ledger among multiple untrusted participants. The widespread adoption of blockchain in data-intensive applications has led to the demand for querying data stored in blockchain databases. However, compared to traditional databases, current blockchain systems cannot offer efficient queries. Moreover, migrating the original business supported by traditional databases to blockchain systems takes a long time and costs a lot. Motivated by this, we design and implement Blockchain PG, a novel data management system built on a legacy system. The system architecture applies to most databases system. By establishing a trusted relationship between the database and the client, Blockchain PG not only guarantees that the existing legacy system will not be greatly affected, but also achieves the data integrity and correctness by authenticated query, and the traceability of data by trace query.

KW - Authenticated query

KW - Blockchain

KW - MBtree

KW - Trace query

UR - https://www.scopus.com/pages/publications/85093819627

U2 - 10.1007/978-3-030-60290-1_41

DO - 10.1007/978-3-030-60290-1_41

M3 - 会议稿件

AN - SCOPUS:85093819627

SN - 9783030602895

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 529

EP - 534

BT - Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings

A2 - Wang, Xin

A2 - Zhang, Rui

A2 - Lee, Young-Koo

A2 - Sun, Le

A2 - Moon, Yang-Sae

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 18 September 2020 through 20 September 2020

ER -

Guo Q, Deng S, Cai L, Zhu Y, Zhang Z , Jin C. Blockchain PG: Enabling Authenticated Query and Trace Query in Database. In Wang X, Zhang R, Lee YK, Sun L, Moon YS, editors, Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 529-534. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-60290-1_41

Blockchain PG: Enabling Authenticated Query and Trace Query in Database

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Keywords

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