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Blockchain Applications in Smart City: A Survey

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Smart Computing and Communication (SmartCom 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13828))

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Abstract

Smart cities bring new ideas to solve the social, economic, and environmental problems existing in traditional cities. However, the services of smart cities suffer from centralized data storage and untrustworthiness. As a decentralized distributed database, blockchain provides distributed and trusted infrastructure technology for the construction of smart cities. In this survey, we conduct a brief survey of the literature on blockchain applications in smart cities. We review the application of blockchain in smart cities from the four main application scenarios of energy, transportation, medical care, and manufacturing. Then, we discuss the realization of blockchain-based smart cities from the perspectives of privacy and storage. We believe this survey provides new ideas for the development of smart cities.

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References

  1. Gai, K., Wu, Y., Zhu, L., Choo, K.R., Xiao, B.: Blockchain-enabled trustworthy group communications in UAV networks. IEEE Trans. Intell. Transp. Syst. 22(7), 4118–4130 (2021)

    Article  Google Scholar 

  2. Gai, K., Qiu, M.: Optimal resource allocation using reinforcement learning for IoT content-centric services. Appl. Soft Comput. 70(1), 12–21 (2018)

    Article  Google Scholar 

  3. Zhang, Y., Gai, K., Xiao, J.: Blockchain-empowered efficient data sharing in internet of things settings. J-SAC 40(12), 3422–3436 (2022)

    Google Scholar 

  4. Gai, K., Tang, H., Li, G.: Blockchain-based privacy-preserving positioning data sharing for IoT-enabled maritime transportation systems. IEEE Trans. Intell. Transp. Syst. (9), 1–15 (2022)

    Google Scholar 

  5. Gai, K., Guo, J., Zhu, L., Yu, S.: Blockchain meets cloud computing: a survey. IEEE Commun. Surv. Tutor. 22(3), 2009–2030 (2020)

    Article  Google Scholar 

  6. Liang, G., Weller, S., Luo, F.: Distributed blockchain-based data protection framework for modern power systems against cyber attacks. IEEE Trans. Smart Grid 10(3), 3162–3173 (2018)

    Article  Google Scholar 

  7. Sun, J., Yao, X., Wang, S., Wu, Y.: Blockchain-based secure storage and access scheme for electronic medical records in IPFS. IEEE Access 8, 59389–59401 (2020)

    Article  Google Scholar 

  8. Yang, Z., Yang, K., Lei, L., et al.: Blockchain-based decentralized trust management in vehicular networks. IEEE Internet Things J. 6(2), 1495–1505 (2018)

    Article  Google Scholar 

  9. Xu, Z., Zhang, J., Song, Z., et al.: A scheme for intelligent blockchain-based manufacturing industry supply chain management. Computing 103(8), 1771–1790 (2021)

    Article  MathSciNet  Google Scholar 

  10. Gai, K., Qiu, M., Zhao, H., Tao, L., Zong, Z.: Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. J. Netw. Comput. Appl. 59, 46–54 (2016)

    Article  Google Scholar 

  11. Bao, J., He, D., Luo, M., Choo, K.K.R.: A survey of blockchain applications in the energy sector. IEEE Syst. J. 15(3), 3370–3381 (2020)

    Article  Google Scholar 

  12. Dileep, G.: A survey on smart grid technologies and applications. Renewable Energy 146, 2589–2625 (2020)

    Article  Google Scholar 

  13. Wang, Y., Su, Z., Zhang, N.: SPDS: a secure and auditable private data sharing scheme for smart grid based on blockchain. IEEE Trans. Industr. Inf. 17(11), 7688–7699 (2020)

    Article  Google Scholar 

  14. Bera, B., Saha, S., Das, A.K.: Designing blockchain-based access control protocol in IoT-enabled smart-grid system. IEEE Internet Things J. 8(7), 5744–5761 (2020)

    Article  Google Scholar 

  15. Gai, K., Wu, Y., Zhu, L., Qiu, M., Shen, M.: Privacy-preserving energy trading using consortium blockchain in smart grid. IEEE Trans. Industr. Inf. 15(6), 3548–3558 (2019)

    Article  Google Scholar 

  16. Ali, F.S., Bouachir, O., Özkasap, Ö.: Synergychain: blockchain-assisted adaptive cyber-physical P2P energy trading. IEEE Trans. Industr. Inf. 17(8), 5769–5778 (2020)

    Article  Google Scholar 

  17. Khalid, R., Javaid, N., Javaid, S., Imran, M., Naseer, N.: A blockchain-based decentralized energy management in a P2P trading system. In: IEEE International Conference on Communications, pp. 1–6. IEEE (2020)

    Google Scholar 

  18. AlSkaif, T., Crespo-Vazquez, J.L., Sekuloski, M., van Leeuwen, G., Catalão, J.P.S.: Blockchain-based fully peer-to-peer energy trading strategies for residential energy systems. IEEE Trans. Industr. Inf. 18(1), 231–241 (2021)

    Article  Google Scholar 

  19. Gaetani, E., Aniello, L., Baldoni, R.: Blockchain-based database to ensure data integrity in cloud computing environments (2017)

    Google Scholar 

  20. Yue, X., Wang, H., Jin, D., et al.: Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. J. Med. Syst. 40(10), 1–8 (2016)

    Article  Google Scholar 

  21. Kuma, M.R., Fathima, M.D., Mahendran, M.: Personal health data storage protection on cloud using MA-ABE. Int. J. Comput. Appl. 75(8), 11–16 (2013)

    Google Scholar 

  22. Gu, K., Jia, W., Wang, G., Wen, S.: Efficient and secure attribute-based signature for monotone predicates. Acta Informatica 54(5), 521–541 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  23. Guo, R., Shi, H., Zhao, Q., Zheng, D.: Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems. IEEE Access 6, 11676–11686 (2018)

    Article  Google Scholar 

  24. Preikschat, K., Böhmecke-Schwafert, M., Buchwald, J., Stickel, C.: Trusted systems of records based on blockchain technology-a prototype for mileage storing in the automotive industry. Concurr. Comput. 33(1), e5630 (2021)

    Article  Google Scholar 

  25. Liu, C., Chai, K., Zhang, X., et al.: Adaptive blockchain-based electric vehicle participation scheme in smart grid platform. IEEE Access 6, 25657–25665 (2018)

    Article  Google Scholar 

  26. Zhang, D., Yu, F., Yang, R.: Blockchain-based distributed software-defined vehicular networks: a dueling deep Q-learning approach. IEEE Trans. Cogn. Commun. Netw. 5(4), 1086–1100 (2019)

    Article  Google Scholar 

  27. Liu, H., Zhang, Y., Yang, T.: Blockchain-enabled security in electric vehicles cloud and edge computing. IEEE Network 32(3), 78–83 (2018)

    Article  Google Scholar 

  28. Zheng, D., Jing, C., Guo, R., Gao, S., Wang, L.: A traceable blockchain-based access authentication system with privacy preservation in vanets. IEEE Access 7, 117716–117726 (2019)

    Article  Google Scholar 

  29. Zhang, X., Chen, X.: Data security sharing and storage based on a consortium blockchain in a vehicular ad-hoc network. IEEE Access 7, 58241–58254 (2019)

    Article  Google Scholar 

  30. Leng, J., Ye, S., Zhou, M.: Blockchain-secured smart manufacturing in industry 4.0: a survey. T-SMC 51(1), 237–252 (2021)

    Google Scholar 

  31. Thoben, K.D., Wiesner, S., Wuest, T.: “Industrie 4.0” and smart manufacturing - a review of research issues and application examples. Int. J. Autom. Technol. 11(1), 4–16 (2017)

    Google Scholar 

  32. Phuyal, S., Bista, D., Bista, R.: Challenges, opportunities and future directions of smart manufacturing: a state of art review. Sustain. Futures 2, 100023 (2020)

    Article  Google Scholar 

  33. Zhou, K., Liu, T., Zhou, L.: Industry 4.0: towards future industrial opportunities and challenges. In: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 2147–2152 (2015)

    Google Scholar 

  34. Hassan, M.U., Rehmani, M.H., Chen, J.: Privacy preservation in blockchain based IoT systems: integration issues, prospects, challenges, and future research directions. Futur. Gener. Comput. Syst. 97, 512–529 (2019)

    Article  Google Scholar 

  35. Huo, R., Zeng, S., Di, Y., Cheng, X., et al.: A blockchain-enabled trusted identifier co-governance architecture for the industrial internet of things. IEEE Commun. Mag. 60(6), 66–72 (2022)

    Article  Google Scholar 

  36. Wang, J., Chen, J., Ren, Y., Sharma, P.K., Alfarraj, O., Tolba, A.: Data security storage mechanism based on blockchain industrial internet of things. Comput. Ind. Eng. 164, 107903 (2022)

    Article  Google Scholar 

  37. Yu, K., Tan, L., Yang, C., Choo, K.R., et al.: A blockchain-based shamir’s threshold cryptography scheme for data protection in industrial internet of things settings. IEEE Internet Things J. 9(11), 8154–8167 (2022)

    Article  Google Scholar 

  38. Mansour, R.F.: Blockchain assisted clustering with intrusion detection system for industrial internet of things environment. Expert Syst. Appl. 207, 117995 (2022)

    Article  Google Scholar 

  39. Zuo, Y.: Making smart manufacturing smarter - a survey on blockchain technology in industry 4.0. Enterprise Inf. Syst. 15, 1323–1353 (2021)

    Google Scholar 

  40. Wu, Y., Zhang, Y.: An integrated framework for blockchain-enabled supply chain trust management towards smart manufacturing. Adv. Eng. Inform. 51, 101522 (2022)

    Article  Google Scholar 

  41. Westerkamp, M., Victor, F., Küpper, A.: Blockchain-based supply chain traceability: token recipes model manufacturing processes. In: 2018 IEEE International Conference on Internet of Things, Halifax, NS, Canada, pp. 1595–1602 (2018)

    Google Scholar 

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Acknowledgements

This work is partially supported by the National Key Research and Development Program of China (Grant No. 2021YFB2701300), Natural Science Foundation of Shandong Province (Grant No. ZR2020ZD01).

Author information

Authors and Affiliations

  1. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Shuo Wang, Zhiqi Lei, Zijun Wang & Keke Gai

  2. Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, Zhejiang, China

    Shuo Wang, Zhiqi Lei & Keke Gai

  3. School of Cyber Engineering, Xidian University, Xi’an, 710071, China

    Dongjue Wang

  4. Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266400, China

    Mohan Wang

  5. School of Information Science and Engineering, Shandong University, Qingdao, Shandong, 266237, China

    Gangqiang Yang

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  1. Shuo Wang
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  2. Zhiqi Lei
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  3. Zijun Wang
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  4. Dongjue Wang
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  5. Mohan Wang
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Correspondence to Keke Gai .

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Editors and Affiliations

  1. Dakota State University, Madison, SD, USA

    Meikang Qiu

  2. Fudan University, Shanghai, China

    Zhihui Lu

  3. Ibaraki University, Ibaraki, Japan

    Cheng Zhang

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Wang, S. et al. (2023). Blockchain Applications in Smart City: A Survey. In: Qiu, M., Lu, Z., Zhang, C. (eds) Smart Computing and Communication. SmartCom 2022. Lecture Notes in Computer Science, vol 13828. Springer, Cham. https://doi.org/10.1007/978-3-031-28124-2_46

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  • DOI: https://doi.org/10.1007/978-3-031-28124-2_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28123-5

  • Online ISBN: 978-3-031-28124-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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