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International Conference on Artificial Intelligence and Security

ICAIS 2022: Artificial Intelligence and Security pp 208–221Cite as

A Survey of Consensus Mechanism Based on Reputation Model

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13340))

Abstract

The reputation models may be used to evaluate the reputation of blockchain nodes, and the consensus mechanisms can use the reputation models to quantify the credibility or dependability of nodes. The consensus mechanisms and the reputation models have been coupled by researchers with the goal of improving the performance and security of consensus mechanisms. We summarized the consensus mechanism based on the reputation model (reputation consensus) in this paper. To begin, we’ve classified the many types of reputation consensuses and explained the benefits of each one. Second, we suggest a new performance assessment criterion for reputation consensuses based on the experimental section of the literatures, and we evaluate the performance of current reputation consensuses using the provided performance evaluation criterion. After that, we ran a statistical investigation on the security of reputation consensuses. Finally, we summed up the reputation consensuses in order to better grasp present research issues and future research directions.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 62162022 and 62162024), Key Projects in Hainan Province (Grant ZDYF2021GXJS003 and Grant ZDYF2020040), the Major science and technology project of Hainan Province(Grant No. ZDKJ2020012).

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Authors and Affiliations

  1. School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China

    Yuanshen Li

  2. School of Compute Science and Technology, Hainan University, Haikou, 570228, China

    Jieren Cheng

  3. Hainan Blockchain Technology Engineering Research Center, Hainan University, Haikou, 570228, China

    Yuanshen Li & Jieren Cheng

  4. Hainan Huochain Technology Co. Ltd., Haikou, 570100, China

    Hui Li & Yuming Yuan

  5. Department of Computer Science, Texas Tech University, 79409, Texas, USA

    Victor S. Sheng

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  1. Yuanshen Li
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  2. Jieren Cheng
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  3. Hui Li
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  4. Yuming Yuan
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  5. Victor S. Sheng
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Corresponding author

Correspondence to Jieren Cheng .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Li, Y., Cheng, J., Li, H., Yuan, Y., Sheng, V.S. (2022). A Survey of Consensus Mechanism Based on Reputation Model. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_17

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