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A Blockchain Based Framework for Smart Greenhouse Data Management

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Knowledge Science, Engineering and Management (KSEM 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12817))

Abstract

The safe exchanging and storing of Internet of Things (IoT) data in greenhouse scenarios has intrigued researchers from both management and information science. The authentic and secure data is the key foundation of data analysis and decision making. On the other hand, the traditional centralized cloud computing system has a fatal failure that once the central server being successfully attacked, all the data will get lost. The backups will be difficult to retrieve and the system recovering will be time consuming. This paper introduces a double-chain based on IoT data storage system supporting knowledge management abilities of greenhouse scenario. The system collects data from Greenhouse sensors and store the data in Inter Planetary File System (IPFS) network, after the IPFS hash have been generated, the network again rehashes the values and upload onto the Ethereum chain for public queries. The distributed data storage improves the security of data, also supports the safe exchanging of information as well as the sharing of data between entities, improving the efficiency of knowledge management.

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References

  1. Dai, W.Y., Qiu, L.F., Qiu, M.K.: Cloud infrastructure resource allocation for big data applications. IEEE Trans. Big Data 4(3), 313–324 (2018)

    Article  Google Scholar 

  2. Ren, W., Wan, X.T., Gan, P.C.: A double-blockchain solution for agricultural sampled data security in Internet of Things network. Future Gener. Comput. Syst. Int. J. Esci. 117, 453–461 (2021)

    Article  Google Scholar 

  3. https://en.wikipedia.org/wiki/Blockchain

  4. Guo, Y.B., Zhu Ge, Q.F., Hu, J.T., Yi, J., Qiu, M.K.: Data placement and duplication for embedded multicore systems with scratch pad memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(6), 809–817 (2013)

    Article  Google Scholar 

  5. Yin, D.L., Jiang, M.Y.: Teaching information resources integration based on heterogeneous data exchange and sharing of technology. In: 2008 International Symposium on Computer Science and Computational Technology, vol. 1, pp. 150–153 (2008)

    Google Scholar 

  6. Khanna, A., Kaur, A.: Evolution of Internet of Things (IoT) and its significant impact in the field of precision agriculture. Comput. Electron. Agric. 157(2019), 218–231 (2019)

    Article  Google Scholar 

  7. Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., Sikdar, B.: A Survey on IoT security: application areas, security threats, and solution architectures. IEEE Access 7, 82721–82743 (2019)

    Article  Google Scholar 

  8. Babar, S., Stango, A., Prasad, N., Sen, J., Prasad, R.: Proposed embedded security frame- work for Internet of Things (IoT). In: International Conference on Wireless Communication IEEE (2011)

    Google Scholar 

  9. Dai, W.Y., Qiu, M.K., Qiu, L.F., Chen, L.B., Wu, A.N.: Who moved my data? Privacy protection in smartphones. IEEE Commun. Mag. 55(1), 20–25 (2017)

    Article  Google Scholar 

  10. Rathee, G., Sharma, A., Kumar, R., Iqbal, R.: A secure communicating things network framework for industrial IoT using blockchain technology. Ad Hoc Netw. (2019)

    Google Scholar 

  11. IEEE Standard for Framework of Blockchain-based Internet of Things (IoT) Data Management. https://doi.org/10.1109/IEEESTD.2021.9329260

  12. Xu, J., Wang, S., Zhou, A., Yang, F.: A blockchain-enabled edge-computing platform for intelligent IoT-based dApps. China Commun. 17(4), 78–87 (2020)

    Article  Google Scholar 

  13. Malik, S., Dedeoglu, V., Kanhere, S. S., Jurdak, R.: TrustChain: trust management in blockchain and IoT supported supply chains. In: 2019 IEEE International Conference on Blockchain, pp. 184–193 (2019)

    Google Scholar 

  14. Feng, T.: An agri-food supply chain traceability system for China based on RFID & blockchain technology. In: 2016 13th International Conference on Service Systems and Service Management (ICSSSM), pp. 1–6 (2016)

    Google Scholar 

  15. Zheng, Q., Li, Y., Chen, P., Dong, X.: An innovative IPFS-based storage model for blockchain. In: 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 704–708 (2018)

    Google Scholar 

  16. Keenan, T.P.: Alice in blockchains: surprising security pitfalls in PoW and PoS blockchain systems. In: 2017 15th Annual Conference on Privacy, Security and Trust (PST), pp. 400–4002 (2017)

    Google Scholar 

  17. Shifa, A., Asghar, M.N., Fleury, M.: Multimedia security perspectives in IoT. In: 2016 6th International Conference on Innovative Computing Technology (INTECH), Xplore, Dublin, Ireland, pp. 550–555. IEEE (2016)

    Google Scholar 

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Acknowledgements

This research was supported by the Capacity Development Foundation of Southwest University (Grants No. SWU116007).

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Guo, C., Zi, Y., Ren, W. (2021). A Blockchain Based Framework for Smart Greenhouse Data Management. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, SY. (eds) Knowledge Science, Engineering and Management. KSEM 2021. Lecture Notes in Computer Science(), vol 12817. Springer, Cham. https://doi.org/10.1007/978-3-030-82153-1_25

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  • DOI: https://doi.org/10.1007/978-3-030-82153-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82152-4

  • Online ISBN: 978-3-030-82153-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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