A prototype evaluation of a tamper-resistant high performance blockchain-based transaction log for a distributed database
A prototype evaluation of a tamper-resistant high performance blockchain-based transaction log for a distributed database
As data is having an increasingly relevant role in different business fields, ensuring integrity has become fundamental. Modern databases rely on transaction history written on redo logs to allow for data restore. However, if redo logs are (maliciously) forged, data can actually be lost or altered. Due its strong data integrity guarantees, blockchain technology can be employed to ensure log integrity, but its current performance limitations hinder actual exploitations. In previous work, we proposed a layered blockchain-based architecture for distributed (federated) database redo logs: a fast first layer blockchain, anchored to a secure second layer blockchain, based on proof-of-work to achieve strong integrity. Here, we present an implementation and an experimental evaluation of a prototype of that architecture, which employs a total consensus algorithm on the first layer blockchain. Finally, to improve availability and scalability, we refine our solution by investigating, respectively, a Byzantine Fault Tolerant consensus and a Distributed Hash Table solution to shard the first layer blockchain ledger among available nodes.
Aniello, Leonardo
9846e2e4-1303-4b8b-9092-5d8e9bb514c3
Baldoni, Roberto
6ea5e1cc-92fe-4b9d-9ed3-0b7970553965
Gaetani, Edoardo
0fcd97d0-1075-4992-a63e-c37cfa7593bb
Lombardi, Federico
78e41297-64c9-4c1e-9515-8eb59334a795
Margheri, Andrea
4b87c32d-3eaf-445e-8ac0-8207daace2e1
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
2017
Aniello, Leonardo
9846e2e4-1303-4b8b-9092-5d8e9bb514c3
Baldoni, Roberto
6ea5e1cc-92fe-4b9d-9ed3-0b7970553965
Gaetani, Edoardo
0fcd97d0-1075-4992-a63e-c37cfa7593bb
Lombardi, Federico
78e41297-64c9-4c1e-9515-8eb59334a795
Margheri, Andrea
4b87c32d-3eaf-445e-8ac0-8207daace2e1
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
Aniello, Leonardo, Baldoni, Roberto, Gaetani, Edoardo, Lombardi, Federico, Margheri, Andrea and Sassone, Vladimiro
(2017)
A prototype evaluation of a tamper-resistant high performance blockchain-based transaction log for a distributed database.
In 2017 13th European Dependable Computing Conference (EDCC).
IEEE.
4 pp
.
(doi:10.1109/EDCC.2017.31).
Record type:
Conference or Workshop Item
(Paper)
Abstract
As data is having an increasingly relevant role in different business fields, ensuring integrity has become fundamental. Modern databases rely on transaction history written on redo logs to allow for data restore. However, if redo logs are (maliciously) forged, data can actually be lost or altered. Due its strong data integrity guarantees, blockchain technology can be employed to ensure log integrity, but its current performance limitations hinder actual exploitations. In previous work, we proposed a layered blockchain-based architecture for distributed (federated) database redo logs: a fast first layer blockchain, anchored to a secure second layer blockchain, based on proof-of-work to achieve strong integrity. Here, we present an implementation and an experimental evaluation of a prototype of that architecture, which employs a total consensus algorithm on the first layer blockchain. Finally, to improve availability and scalability, we refine our solution by investigating, respectively, a Byzantine Fault Tolerant consensus and a Distributed Hash Table solution to shard the first layer blockchain ledger among available nodes.
Text
EDCC_bc
- Accepted Manuscript
More information
Accepted/In Press date: 1 January 2017
e-pub ahead of print date: 1 December 2017
Published date: 2017
Venue - Dates:
13th European Dependable Computing Conference, Campus Biotech, Geneva, Switzerland, 2017-09-04 - 2017-09-08
Organisations:
Cyber Security
Identifiers
Local EPrints ID: 411955
URI: http://eprints.soton.ac.uk/id/eprint/411955
PURE UUID: e2dc140d-6c8e-4c28-9947-41b89feebff2
Catalogue record
Date deposited: 03 Jul 2017 16:31
Last modified: 16 Mar 2024 04:32
Export record
Altmetrics
Contributors
Author:
Leonardo Aniello
Author:
Roberto Baldoni
Author:
Edoardo Gaetani
Author:
Federico Lombardi
Author:
Vladimiro Sassone
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics