Wireless IoT with Blockchain-Enabled Technology amidst Attacks
PDF
PDF

How to Cite

Kamel, Khaled. 2021. “Wireless IoT With Blockchain-Enabled Technology Amidst Attacks”. IRO Journal on Sustainable Wireless Systems 2 (3): 133-37. https://doi.org/10.36548/jsws.2020.3.005.

Keywords

— IoT
— Blockchain
— security
— throughput
— Attacks
Published: 02-01-2021

Abstract

Blockchain enabled Internet of Things has exhibited high potential in establishing consensus and trust mechanism. To design this type of system, it is necessary to have a better knowledge about blockchain and how it can be used with internet of things. Moreover, it will be easier to gauge the requirements of the system based on the performance constraints that are imposed on the other parts. In the proposed work, we have used spatial domain Poisson distribution to determine the arrival rate at the transaction node and the full function node. The signal to interference and noise is calculated to determine throughput as well as transmission success rate. Based on performance analysis, we have developed an algorithm that is can be used to determine the apt FN deployment, under the condition of maximum transaction throughput. Results indicate the accuracy of the proposed algorithm with theoretical values.

References

  1. Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018). On blockchain and its integration with IoT. Challenges and opportunities. Future generation computer systems, 88, 173-190.
  2. Tsang, Y. P., Choy, K. L., Wu, C. H., Ho, G. T. S., & Lam, H. Y. (2019). Blockchain-driven IoT for food traceability with an integrated consensus mechanism. IEEE access, 7, 129000-129017.
  3. Mistry, I., Tanwar, S., Tyagi, S., & Kumar, N. (2020). Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges. Mechanical Systems and Signal Processing, 135, 106382.
  4. Dwivedi, A. D., Srivastava, G., Dhar, S., & Singh, R. (2019). A decentralized privacy-preserving healthcare blockchain for IoT. Sensors, 19(2), 326.
  5. Huang, J., Kong, L., Chen, G., Wu, M. Y., Liu, X., & Zeng, P. (2019). Towards secure industrial IoT: Blockchain system with credit-based consensus mechanism. IEEE Transactions on Industrial Informatics, 15(6), 3680-3689.
  6. Casado-Vara, R., Chamoso, P., De la Prieta, F., Prieto, J., & Corchado, J. M. (2019). Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. Information Fusion, 49, 227-239.
  7. Shirley, D. R. A., Ranjani, K., Arunachalam, G., & Janeera, D. A. (2020). Automatic Distributed Gardening System Using Object Recognition and Visual Servoing. In Inventive Communication and Computational Technologies (pp. 359-369). Springer, Singapore.
  8. Xu, Y., Ren, J., Wang, G., Zhang, C., Yang, J., & Zhang, Y. (2019). A blockchain-based nonrepudiation network computing service scheme for industrial IoT. IEEE Transactions on Industrial Informatics, 15(6), 3632-3641.
  9. Rane, S. B., & Narvel, Y. A. M. (2019). Re-designing the business organization using disruptive innovations based on blockchain-IoT integrated architecture for improving agility in future Industry 4.0. Benchmarking: An International Journal.
  10. Sivaganesan, D. (2019). Block Chain Enabled Internet of Things. Journal of Information Technology, 1(01), 1-8.
  11. Alladi, T., Chamola, V., Parizi, R. M., & Choo, K. K. R. (2019). Blockchain applications for industry 4.0 and industrial IoT: A review. IEEE Access, 7, 176935-176951.
  12. Sun, Y., Zhang, L., Feng, G., Yang, B., Cao, B., & Imran, M. A. (2019). Blockchain-enabled wireless Internet of Things: Performance analysis and optimal communication node deployment. IEEE Internet of Things Journal, 6(3), 5791-5802.
  13. Xu, H., Zhang, L., Liu, Y., & Cao, B. (2020). Raft based wireless blockchain networks in the presence of malicious jamming. IEEE Wireless Communications Letters, 9(6), 817-821.