Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)

<Previous Article In Volume
Next Article In Volume>

Comparative Analysis of Blockchain Consensus Algorithms

Authors
Zhihao Lin1, *
1School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China
*Corresponding author. Email: u202141838@xs.ustb.edu.cn
Corresponding Author
Zhihao Lin
Available Online 16 October 2024.
DOI
10.2991/978-94-6463-540-9_28How to use a DOI?
Keywords
Blockchain; Consensus algorithm; Metrics; Evaluation framework
Abstract

Over the past decade, blockchain technology has undergone remarkable growth, largely driven by its versatility across various applications, which has garnered significant attention from multiple sectors. This technology has facilitated the shift from traditional, centralized ledgers controlled by single entities to decentralized, trustworthy systems managed collaboratively by numerous participants. This transformation has notably increased the complexity and criticality of achieving consensus within blockchain networks, a challenge commonly referred to as the “consensus problem.” Consensus algorithms are crucial for maintaining the operational efficacy of blockchain frameworks. This paper presents a comprehensive review of prevalent consensus algorithms and introduces a structured set of criteria for their assessment and comparison. These criteria are categorized into three primary groups: Performance, Scalability, and Security. Employing the proposed evaluation framework, this research conducts an extensive examination and comparison of the specific advantages and disadvantages associated with each consensus algorithm. This endeavor not only aids in the development and enhancement of robust blockchain architectures but also establishes a clear pathway for future academic inquiry into this dynamic field.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
Series
Advances in Computer Science Research
Publication Date
16 October 2024
ISBN
978-94-6463-540-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-540-9_28How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Zhihao Lin
PY  - 2024
DA  - 2024/10/16
TI  - Comparative Analysis of Blockchain Consensus Algorithms
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 264
EP  - 276
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_28
DO  - 10.2991/978-94-6463-540-9_28
ID  - Lin2024
ER  -