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Data Distributed Storage Scheme in Internet of Things Based on Blockchain

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1282))

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Abstract

With the explosive growth of Internet of Things data, the storage of large amounts of data has become a problem that plagues people. These IoT devices generally do not have powerful computing and storage capabilities. Most of them assume the role of data collection and information transfer, which also brings challenges to data storage. And a large proportion of the large amount of data is the user’s privacy data, so under the premise of storing a large amount of data, we must also ensure the security of the data. In view of the above problems, this article proposes an effective IoT data storage model based on secret sharing, which effectively guarantees the security of IoT data, and proposes a secure distributed storage of IoT data based on blockchain. This solution has the advantages of a complete blockchain. Under the supervision of the edge computing nodes of the entire network, it can ensure that each transaction data is not tampered with, and it can also obtain complete original data.

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References

  1. Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 (2016). https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/

  2. Li, X., Jiang, P., Chen, T., et al.: A survey on the security of blockchain systems. Future Gener. Comput. Syst. 107, 841–853 (2020)

    Article  Google Scholar 

  3. Mo, Y.: A data security storage method for IoT under Hadoop cloud computing platform. Int. J. Wirel. Inf. Netw. 26(3), 152–157 (2019)

    Article  Google Scholar 

  4. Tian, H., Nan, F., Chang, C.C., et al.: Privacy-preserving public auditing for secure data storage in fog-to-cloud computing. J. Netw. Comput. Appl. 127, 59–69 (2019)

    Article  Google Scholar 

  5. Li, R., Song, T., Mei, B., et al.: Blockchain for large-scale Internet of Things data storage and protection. IEEE Trans. Serv. Comput. 12(5), 762–771 (2018)

    Article  Google Scholar 

  6. Fu, J.S., Liu, Y., Chao, H.C., et al.: Secure data storage and searching for industrial IoT by integrating fog computing and cloud computing. IEEE Trans. Industr. Inform. 14(10), 4519–4528 (2018)

    Article  Google Scholar 

  7. Wang, W., Xu, P., Yang, L.T.: Secure data collection, storage and access in cloud-assisted IoT. IEEE Cloud Comput. 5(4), 77–88 (2018)

    Article  Google Scholar 

  8. Xiong, S., Ni, Q., Wang, L., et al.: SEM-ACSIT: secure and efficient multiauthority access control for IoT cloud storage. IEEE Internet Things J. 7(4), 2914–2927 (2020)

    Article  Google Scholar 

  9. Yang, Y., Zheng, X., Guo, W., et al.: Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system. Inf. Sci. 479, 567–592 (2019)

    Article  Google Scholar 

  10. Xia, J., Cheng, G., Gu, S., et al.: Secure and trust-oriented edge storage for Internet of Things. IEEE Internet Things J. 7(5), 4049–4060 (2019)

    Article  Google Scholar 

  11. Yannuzzi, M., Milito, R., Serral-Gracià, R., et al.: Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing. In: 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp. 325–329. IEEE (2014)

    Google Scholar 

  12. Shamir, A.: How to share a secret. Commun. ACM 22(11), 612–613 (1979)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the Science Project of Hainan University (KYQD(ZR)20021).

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Authors and Affiliations

  1. School of Computer Science and Cyberspace Security, Hainan University, Haikou, China

    Yin Zhang & Jun Ye

Authors
  1. Yin Zhang
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  2. Jun Ye
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Corresponding author

Correspondence to Jun Ye .

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Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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Zhang, Y., Ye, J. (2021). Data Distributed Storage Scheme in Internet of Things Based on Blockchain. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_96

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