Comparative Review of the Blockchain Consensus Algorithm Between Proof of Stake (POS) and Delegated Proof of Stake (DPOS)

Authors

  • Sheikh Munir Skh Saad School of Computing, Faculty of Engineering Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia
  • Raja Zahilah Raja Mohd Radzi School of Computing, Faculty of Engineering Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/ijic.v10n2.272

Keywords:

Blockchain, Consensus, PoS, DPoS

Abstract

Blockchain is a public ledger technology to which everyone has access without a central authority having control. This technology typically gets to use registration and smart contract. To make sure there are security and authenticity in the transaction information in blockchain, many researchers are study on consensus algorithm. There is a lot of consensus algorithm are using in blockchain. Determining leading research area and finding the best key of consensus algorithm is the motivation of this study. Thus, this study will investigate how consensus algorithm areas of research can be determined by study on the Proof of Stake (PoS) and Delegated Proof of Stake (DPos). Besides that, this research study about the key parameters that being using in these two algorithms. In addition, after getting the parameters we measure the comparison in terms of their transaction per second, nodes, and block sizes. Furthermore, we conclude the efficiency of these two algorithms in terms of their scalability. Although DPoS performance is expected to be much better than PoS, the impact of parameters can be assessed and analyzed to see and prove results. We hope after this study, can solved the performance and security affected by the application of consensus algorithm used in the blockchain.

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Published

2020-11-19

How to Cite

Skh Saad, S. M., & Raja Mohd Radzi, R. Z. (2020). Comparative Review of the Blockchain Consensus Algorithm Between Proof of Stake (POS) and Delegated Proof of Stake (DPOS). International Journal of Innovative Computing, 10(2). https://doi.org/10.11113/ijic.v10n2.272

Issue

Section

Computer Science