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IoT 24(1):

Research Article

Comprehensive Analysis of Blockchain Algorithms

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  • @ARTICLE{10.4108/eetiot.4549,
        author={Prabhat Kumar Tiwari and Nidhi Agarwal and Shabaj Ansari and Mohammad Asif},
        title={Comprehensive Analysis of Blockchain Algorithms},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={IOT},
        year={2023},
        month={12},
        keywords={blockchain, consensus algorithm, blockchain security},
        doi={10.4108/eetiot.4549}
    }
    
  • Prabhat Kumar Tiwari
    Nidhi Agarwal
    Shabaj Ansari
    Mohammad Asif
    Year: 2023
    Comprehensive Analysis of Blockchain Algorithms
    IOT
    EAI
    DOI: 10.4108/eetiot.4549
Prabhat Kumar Tiwari1, Nidhi Agarwal1,*, Shabaj Ansari1, Mohammad Asif1
  • 1: Galgotias University
*Contact email: nidhiagarwal82@gmail.com

Abstract

INTRODUCTION: Blockchain technology has gained significant attention across various sectors as a distributed ledger solution. To comprehend its applicability and potential, a comprehensive understanding of blockchain's essential elements, functional traits, and architectural design is imperative. Consensus algorithms play a critical role in ensuring the proper operation and security of blockchain networks. Consensus algorithms play a vital role in maintaining the proper operation of a blockchain network, and their selection is crucial for optimal performance and security. OBJECTIVES: The objective of this research is to analyse and compare various consensus algorithms based on their performance and efficiency in mining blocks. METHODS: To achieve this, an experimental model was developed to measure the number of mined blocks over time for different consensus algorithms. RESULTS: The results provide valuable insights into the effectiveness and scalability of these algorithms. The findings of this study contribute to the understanding of consensus algorithm selection and its impact on the overall performance of blockchain systems. CONCLUSION: The findings of this study contribute to the understanding of consensus algorithm selection and its impact on the overall performance of blockchain systems. By enhancing our knowledge of consensus algorithms, this research aims to facilitate the development of more secure and efficient blockchain applications.

Keywords
blockchain, consensus algorithm, blockchain security
Received
2023-09-03
Accepted
2023-11-22
Published
2023-12-06
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.4549

Copyright © 2023 P. K. Tiwari et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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