The Practical Byzantine Fault Tolerance Algorithm: Versatile Applications Across Diverse Fields
- DOI
- 10.2991/978-94-6463-540-9_31How to use a DOI?
- Keywords
- Hyperledger Fabric; Diem; HotStuff; PBFT
- Abstract
In recent years, the rise of blockchain technology has sparked significant interest in both cybersecurity and financial investment sectors. Blockchains, categorized into permissioned and permissionless types based on their unique attributes, have shown varied applications. Notably, permissioned blockchains are proving to be more relevant for practical implementations than their permissionless counterparts. One critical aspect of blockchain technology is its consensus protocols, which are fundamental to its operation and integrity. This article provides a succinct overview of the Practical Byzantine Fault Tolerance (PBFT) algorithm, a cornerstone in blockchain technology. It also explores three distinct technical implementations of the PBFT algorithm: Hyperledger Fabric, which is renowned for its robust enterprise solutions; HotStuff, known for its scalability and efficiency improvements; and Diem, a blockchain initiative originally started by Facebook, aimed at transforming financial services. Each of these applications demonstrates the versatility and potential of the PBFT algorithm to address specific needs and challenges within various blockchain frameworks.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yanyan Zhang PY - 2024 DA - 2024/10/16 TI - The Practical Byzantine Fault Tolerance Algorithm: Versatile Applications Across Diverse Fields BT - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024) PB - Atlantis Press SP - 303 EP - 312 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-540-9_31 DO - 10.2991/978-94-6463-540-9_31 ID - Zhang2024 ER -