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Blockchain and IoT Based Infrastructure for Secure Smart City Using Deep Learning Algorithm with Dingo Optimization

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Abstract

Infrastructure for the Internet of Things is being created in smart cities with long-term viability for a range of manufacturing uses, including smart manufacturing as well as smart industries. However in a smart city environment, security measures may not be effective and the existing system also have several drawbacks such as latency, privacy, scalability and security. A block chain-based IoT framework is being developed to address these problems. Initially, the raw data’s are collected from the smart cities through various IoT devices. Then the data’s are pre-processed using Adaptive Data Cleaning, it also contain a prediction method called denoising auto encoder which is used to converting the data from low into high quality form. Then the pre-processed data is given to the block chain based distributed network. Block construction, Request + transaction, transmit block to other nodes in the network, and verification are the four block chain functionalities in this network. For verifying the transaction Modified Deep Neural Network is used. The verifier must select between two possibilities after the transaction has been verified: yes or no. If the state is correct, the transaction is performed and a block is generated in the blockchain. Or else, the process will be halted if any attack is identified in the transaction. The simulation analysis shows that the proposed method obtain 96% accuracy, 0.04% error, precision is 95% so on. This demonstrates that the proposed strategy outperforms other methods currently being used. Based on this proposed method the transaction is executed securely to provide secure smart city environment.

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References

  1. Singh, S. K., Jeong, Y. S., & Park, J. H. (2020). A deep learning-based IoT-oriented infrastructure for secure smart city. Sustainable Cities and Society, 60, 102252.

    Article  Google Scholar 

  2. Puliafito, A., Tricomi, G., Zafeiropoulos, A., & Papavassiliou, S. (2021). Smart cities of the future as cyber physical systems: Challenges and enabling technologies. Sensors, 21(10), 3349.

    Article  Google Scholar 

  3. Verma, R. (2022). Smart city healthcare cyber physical system: Characteristics, technologies and challenges. Wireless Personal Communications, 122(2), 1413–1433.

    Article  Google Scholar 

  4. Rathore, S., Kwon, B. W., & Park, J. H. (2019). BlockSecIoTNet: Blockchain-based decentralized security architecture for IoT network. Journal of Network and Computer Applications, 143, 167–177.

    Article  Google Scholar 

  5. Lee, J., Azamfar, M., & Singh, J. (2019). A blockchain enabled cyber-physical system architecture for Industry 4.0 manufacturing systems. Manufacturing Letters, 20, 34–39.

    Article  Google Scholar 

  6. Mirabelli, G., & Solina, V. (2020). Blockchain and agricultural supply chains traceability: Research trends and future challenges. Procedia Manufacturing, 42, 414–421.

    Article  Google Scholar 

  7. Hou, L., Liao, R. and Luo, Q. (2021) IoT and blockchain-based smart agri-food supply chains. Handbook of Smart Cities, pp.1109–1130.

  8. 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, 06382.

    Article  Google Scholar 

  9. Mohanty, S. P., Choppali, U., & Kougianos, E. (2016). Everything you wanted to know about smart cities: The internet of things is the backbone. IEEE Consumer Electronics Magazine, 5(3), 60–70.

    Article  Google Scholar 

  10. Karthick, S. (2018). TDP: A Novel Secure and Energy Aware Routing Protocol for Wireless Sensor Networks. International Journal of Intelligent Engineering and Systems, 11(2), 76–84.

  11. Singh, S., Sharma, P. K., Yoon, B., Shojafar, M., Cho, G. H., & Ra, I. H. (2020). Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable Cities and Society, 63, 102364.

    Article  Google Scholar 

  12. Biswas, K. & Muthukkumarasamy, V. (2016). Securing smart cities using blockchain technology. IEEE 18th International Conference on High Performance Computing and Communications, 1392–1393.

  13. Esposito, C., Ficco, M., & Gupta, B. B. (2021). Blockchain-based authentication and authorization for smart city applications. Information Processing & Management, 58(2), 102468.

    Article  Google Scholar 

  14. Kushch, S. & Prieto-Castrillo, F. (2019) Blockchain for dynamic nodes in a smart city. In 2019 IEEE 5th world forum on internet of things (WF-IoT), pp. 29–34. IEEE.

  15. Rahman, M. A., Rashid, M. M., Hossain, M. S., Hassanain, E., Alhamid, M. F., & Guizani, M. (2019). Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city. IEEE Access, 7, 18611–18621.

    Article  Google Scholar 

  16. Abd El-Latif, A. A., Abd-El-Atty, B., Mehmood, I., Muhammad, K., Venegas-Andraca, S. E., & Peng, J. (2021). Quantum-inspired blockchain-based cybersecurity: Securing smart edge utilities in IoT-based smart cities. Information Processing & Management, 58(4), 102549.

    Article  Google Scholar 

  17. Li, S. (2018) Application of blockchain technology in smart city infrastructure. In 2018 IEEE international conference on smart internet of things (SmartIoT), pp. 276–2766. IEEE.

  18. Sharma, P. K., & Park, J. H. (2018). Blockchain based hybrid network architecture for the smart city. Future Generation Computer Systems, 86, 650–655.

    Article  Google Scholar 

  19. Rathee, G., Iqbal, R., Waqar, O., & Bashir, A. K. (2021). On the design and implementation of a blockchain enabled e-voting application within iot-oriented smart cities. IEEE Access, 9, 34165–34176.

    Article  Google Scholar 

  20. Ferreira, C. M. S., Garrocho, C. T. B., Oliveira, R. A. R., Silva, J. S., & Cavalcanti, C. F. M. D. C. (2021). IoT registration and authentication in smart city applications with blockchain. Sensors, 21(4), 1323.

    Article  Google Scholar 

  21. Sun, D., Wu, J., Yang, J., & Wu, H. (2021). Intelligent data collaboration in heterogeneous-device IoT platforms. ACM Transactions on Sensor Networks (TOSN), 17(3), 1–17.

    Article  Google Scholar 

  22. Alfian, G., Syafrudin, M., Fitriyani, N. L., Anshari, M., Stasa, P., Svub, J., & Rhee, J. (2020). Deep neural network for predicting diabetic retinopathy from risk factors. Mathematics, 8(9), 1620.

    Article  Google Scholar 

  23. Peraza-Vázquez, H., Peña-Delgado, A. F., Echavarría-Castillo, G., Morales-Cepeda, A. B., Velasco-Álvarez, J., & Ruiz-Perez, F. (2021). A bio-inspired method for engineering design optimization inspired by dingoes hunting strategies. Mathematical Problems in Engineering, 2021, 1–19.

    Article  Google Scholar 

  24. https://www.kaggle.com/datasets/speedwall10/iot-device-network-logs.

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Correspondence to Sourav Mishra.

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Mishra, S., Chaurasiya, V.K. Blockchain and IoT Based Infrastructure for Secure Smart City Using Deep Learning Algorithm with Dingo Optimization. Wireless Pers Commun 132, 17–37 (2023). https://doi.org/10.1007/s11277-023-10560-8

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