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All issues Volume 297 (2021) E3S Web Conf., 297 (2021) 01063 References
Open Access
Issue
E3S Web Conf.
Volume 297, 2021
The 4th International Conference of Computer Science and Renewable Energies (ICCSRE'2021)
Article Number 01063
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202129701063
Published online 22 September 2021
  1. Xiao, S., Research on the information security of sharing economy customers based on block chain technology. Information Systems and E-Business Management, 18(4), 487–496 (2020). https://doi.org/10.1007/s10257-018-0380-4. [Google Scholar]
  2. Chen, Y., Zhang, Y., & Zhou, B., Research on the risk of block chain technology in Internet finance supported by wireless network. Eurasip Journal on Wireless Communications and Networking, 2020(1) (2020). [Google Scholar]
  3. Xu, Y., Wu, M., Lv, Y., & Zhai, S., Research on application of block chain in distributed energy transaction. In Proceedings of 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference, ITOEC 2017 (Vol. 2017-January, pp. 957960) (2017). [Google Scholar]
  4. Yan, H., Huang, B.-B., & Hong, B.-W., Distributed Energy Transaction Pattern and Block Chain Based Architecture Design. DEStech Transactions on Environment, Energy and Earth Sciences, (epee) (2018). [Google Scholar]
  5. Lee, K., James, J., Ejeta, T., & Kim, H., Electronic Voting Service Using Block-Chain. Journal of Digital Forensics, Security and Law (2016). [Google Scholar]
  6. Jovicic, S., & Tan, Q., Retracted: Machine learning for money laundering detection in the block chain financial transaction system. Journal of Fundamental and Applied Sciences (2018). [Google Scholar]
  7. Lü, L., Li, G., Hu, J., Zhen, H., Xiang, Z., & Zhou, G., Research on support environment of user side pear-to-peer transaction in energy block Chain. DianliJianshe/Electric Power Construction, 40(5), 38–47 (2019). [Google Scholar]
  8. Block-Chain Based Authentication Technique., International Journal of Engineering and Advanced Technology, 9(3), 1127–1133 (2020). [Google Scholar]
  9. Mubarakali, A., Bose, S.C., Srinivasan, K., Elsir, A., & Elsier, O., Design a secure and efficient health record transaction utilizing block chain (SEHRTB) algorithm for health record transaction in block chain. Journal of Ambient Intelligence and Humanized Computing (2019). [PubMed] [Google Scholar]
  10. Kumar, M.V.R., Singh, S., Bhandarkar, M.A., Prashant, P., & Bhalaji, N., Block chain technologies for fund release as finality in financial transaction. International Journal of Innovative Technology and Exploring Engineering, 8(7), 46–49 (2019). [Google Scholar]
  11. A Study on the Privacy Act for Block-chain Based REC Transaction System., Korean Lawyers Association Journal, 68(6), 121–157 (2019). [Google Scholar]
  12. Fu, X.T., Chen, S., & Zhang, N., Proxy-cryptocurrency payment system. TongxinXuebao/Journal on Communications, 38(7), 199–206 (2017). [Google Scholar]
  13. Gupta, A., Patel, J., Gupta, M., & Gupta, H., Issues and Effectiveness of Blockchain Technology on Digital Voting. International Journal of Engineering and Manufacturing Science, 7(1), 20–21 (2017). [Google Scholar]
  14. V.C. Nguyen, H.L. Pham, T.H. Tran, H.T. Huynh, and Y. Nakashima, “Digitizing invoice and managing vat payment using blockchain smart contract,” in ICBC 2019 - IEEE International Conference on Blockchain and Cryptocurrency, , pp. 74–77, 2019. [Google Scholar]
  15. A.B. Popa, I.M. Stan, and R. Rughinis. “Instant payment and latent transactions on the Ethereum Blockchain,” in Proceedings - 17th RoEduNet IEEE International Conference: Networking in Education and Research, RoEduNet 2018, 2018. [Google Scholar]
  16. A. Baliga, “Understanding Blockchain Consensus Models,” no. April, 2017. [Google Scholar]
  17. S. Zhang and J. Lee, “Analysis of the main consensus protocols of blockchain,” ICT Express, no. xxxx, pp. 15, 2019. [Google Scholar]
  18. S. De Angelis, L. Aniello, R. Baldoni, F. Lombardi, A. Margheri, and V. Sassone, “PBFT vs Proof-of-Authority : Applying the CAP Theorem to Permissioned Blockchain,” pp. 1–11. [Google Scholar]

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