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Proceedings of the 2022 Seventh International Conference on Research in Intelligent and Computing in Engineering

Annals of Computer Science and Information Systems, Volume 33

Proof-of-Miner-Clustering-Authentication Consensus Method of Blockchain for IoT Networks

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DOI: http://dx.doi.org/10.15439/2022R17

Citation: Proceedings of the 2022 Seventh International Conference on Research in Intelligent and Computing in Engineering, Vu Dinh Khoa, Shivani Agarwal, Gloria Jeanette Rincon Aponte, Nguyen Thi Hong Nga, Vijender Kumar Solanki, Ewa Ziemba (eds). ACSIS, Vol. 33, pages 141144 ()

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Abstract. Using blockchain technology in the Internet of Things (IoT) security is a research trend in recent years, because of the advantages of this technology brings such as decentralization, anonymity, transparency, and auditability. With large IoT networks, miners will have to verify a lot of transactions broadcast from IoT devices. This can cause a delay in saving valid transactions to the ledger. This paper proposes a proof-of-miner-clustering-authentication consensus method of blockchain for IoT networks. In the proposed method, miners in a blockchain network will be clustered, each miner in a cluster is responsible for verifying transactions from IoT devices in the area it manages. Mining of new blocks between clusters is done by the round robin method. Our consensus method can apply to private or consortium blockchain networks, helping to improve the transaction verification speed of miners.


  1. A. Patrizio, “IDC: Expect 175 zettabytes of data worldwide by 2025,” Network World, 2018.
  2. A. M. Antonopoulos, “Mastering Bitcoin: unlocking digital cryptocurrencies,” O’Reilly Me-dia, Inc, 2014.
  3. Z. Zheng, S. Xie, H. N. Dai, and H. Wang, “Blockchain challenges and opportunities: A survey,” in International Journal of Web and Grid Services, 14(4), pp. 352-375, 2018.
  4. S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system. Manubot,” 2008.
  5. T. T. Huynh, T. D. Nguyen, and H. Tan, “A Survey on Security and Privacy Issues of Blockchain Technology,” in 2019 International Conference on System Science and Engineering (ICSSE), IEEE, pp. 362-367, 2019.
  6. V. Buterin, “On Public and Private Blockchains. Ethereum Blog,” 2015. [Online]. Available: https://blog.ethereum.org/2015/08/07/on-public-and-private-blockchains.
  7. O. Novo, “Blockchain meets IoT: An architecture for scalable access management in IoT,” in IEEE internet of things journal, 5(2), pp. 1184-1195, 2018.
  8. B. Liu, X. L. Yu, S. Chen, X. Xu, and L. Zhu, “Blockchain based data integrity service framework for IoT data,” in 2017 IEEE International Conference on Web Services (ICWS), IEEE, pp. 468-475, 2017.
  9. S. S. Panda, U. Satapathy, B. K. Mohanta, D. Jena, and D. Gountia, “Blockchain Based Decentralized Authentication Framework for Resource Constrained IOT devices,” in 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, pp. 1-6, 2019.
  10. P. F. Sheron, K. P. Sridhar, S. Baskar, and P. M. Shakeel, “A decentralized scalable security framework for end-to-end authentication of future IoT communication,” Transactions on Emerging Telecommunications Technologies, 31(12), e3815, 2020.
  11. M. I. Khan, and I. A. Lawal, “Sec-IoT: A framework for secured decentralised IoT using blockchain-based technology,” in International Congress on Information and Communication Technology. Springer, Singapore, pp. 269-277, 2020.
  12. J. Li, N. Li, J. Peng, H. Cui, and Z. Wu, “Energy consumption of cryptocurrency Mining: A study of electricity consumption in Mining cryptocurrencies,” Energy, 168, pp. 160-168, 2019.
  13. L. Yang, Y. Zou, M. Xu, Y. Xu, D. Yu, and X. Cheng, “Distributed consensus for blockchains in internet-of-things networks,” Tsinghua Science and Technology, 27(5), pp. 817-831, 2022.
  14. S. Wadhwa, S. Rani, S. Verma, J. Shafi, and M. Wozniak, “Energy Efficient Consensus Approach of Blockchain for IoT Networks with Edge Computing,” Sensors, 22(10), 3733, 2022.
  15. M. M. Alhejazi, and R. M. A. Mohammad, “Enhancing the blockchain voting process in IoT using a novel blockchain Weighted Majority Consensus Algorithm (WMCA),” Information Security Journal: A Global Perspective, 31(2), pp. 125-143, 2022.
  16. D. Puthal, S. P. Mohanty, P., Nanda, E. Kougianos, and G. Das, “Proof-of-authentication for scalable blockchain in resource-constrained distributed systems,” in 2019 IEEE international conference on consumer electronics (ICCE), IEEE, pp. 1-5, 2019.