Skip to main content
SpringerLink
Log in

SDSBT: A Secure Multi-party Data Sharing Platform Based on Blockchain and TEE

  • Conference paper
  • First Online:
Cyberspace Safety and Security (CSS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12653))

Included in the following conference series:

Abstract

With the rise of big data analytics and artificial intelligence, an increasing number of enterprises and individuals are concerned about the security and privacy of the shared data. However, it is still challenging to achieve a data sharing scheme, which meets the security, privacy, security, and credibility requirements. This paper proposes SDSBT, a multi-party data sharing platform based on blockchain and the trusted execution environment (TEE), which effectively and securely realizes the data sharing among multiple parties. SDSBT achieves the properties including privacy-preserving, identity authentication, application security, and accountability. The security analysis and experimental results show that the scheme is secure and practical.

This study is supported by Oxford-Hainan Blockchain Research Institute, the National Science Foundation of China (No. 61472074, U1708262) and the Fundamental Research Funds for the Central Universities (No. N172304023).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lu, Y., Huang, X., Zhang, K., Sabita, M., Zhang, Y.: Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles. IEEE Trans. Veh. Technol. 69(4), 4298–4311 (2020). https://doi.org/10.1109/TVT.2020.2973651

    Article  Google Scholar 

  2. Imran, M., Ian, Z., Mehran, A., Justin, L., Ni, W.: PrivySharing: a blockchain-based framework for privacy-preserving and secure data sharing in smart cities. Comput. Secur. 88, 101653 (2020). https://doi.org/10.1016/j.cose.2019.101653

    Article  Google Scholar 

  3. Hoon, W., Geong, S., Xu, J., Varsha, C.: PrivateLink: privacy-preserving integration and sharing of datasets. IEEE Trans. Inf. Forensics Secur. 15, 564–577 (2020). https://doi.org/10.1109/TIFS.2019.2924201

    Article  Google Scholar 

  4. Ma, H., Zhang, R., Yang, G., Song, Z., He, K., Xiao, Y.: Efficient fine-grained data sharing mechanism for electronic medical record systems with mobile devices. IEEE Trans. Dependable Secur. Comput. 17(5), 1026–1038 (2020). https://doi.org/10.1109/TDSC.2018.2844814

    Article  Google Scholar 

  5. Shen, J., Zhou, T., He, D., Zhang, Y., Sun, X., Xiang, Y.: Block design-based key agreement for group data sharing in cloud computing. IEEE Trans. Dependable Secur. Comput. 16(6), 996–1010 (2019). https://doi.org/10.1109/TDSC.2017.2725953

    Article  Google Scholar 

  6. Li, H., Zhu, H., Du, S., Liang, X., Shen, X.: Privacy leakage of location sharing in mobile social networks: attacks and defense. IEEE Trans. Dependable Secur. Comput. 15(4), 646–660 (2018). https://doi.org/10.1109/TDSC.2016.2604383

    Article  Google Scholar 

  7. Zhao, Z., Wang, J., Zhu, Z., Sun, L.: Attribute-based encryption for data security sharing of internet of thing. J. Comput. Res. Dev. 56(6), 1290–1301 (2019). https://doi.org/10.7544/issn1000-1239.2019.20180288

    Article  Google Scholar 

  8. Lu, X., Cheng, X.: A secure and lightweight data sharing scheme for internet of medical things. IEEE Access 8, 5022–5030 (2020). https://doi.org/10.1109/ACCESS.2019.2962729

    Article  Google Scholar 

  9. Wu, X., Dong, B., Du, X., Yang, W.: Data governance technology. Ruan Jian Xue Bao 30(9), 2030–2856 (2019). https://doi.org/10.13328/j.cnki.jos.005854

    Article  Google Scholar 

  10. Wang, J., Wei, S., Dai, K.: Research on open data sharing system based on blockchain in the area of financial services system for science and technology. Modern Comput. 22,52–58+78 (2018). https://doi.org/10.3969/j.issn.1007-1423.2018.22.01

  11. Wang, J., Gao, L., Dong, A., Guo, S., Chen, H., Wei, X.: Block chain based data security sharing network architecture research. J. Comput. Res. Dev. Ruan Jian Xue Bao 54(4), 742–749 (2017). https://doi.org/10.7544/issn1000-1239.2017.20160991

    Article  Google Scholar 

  12. TEE Committee (formerly Device Committee). https://globalplatform.org/technical-committees/trusted-execution-environment-tee-committee/

  13. Newsome, Tim: Megan Wachs. RISC-V External Debug Support, SiFive (2019). https://riscv.org/specifications/debug-specification/

  14. Yan, Z., Venu, G., Zheng, Q., Wang, Y.: Access special section editorial: trusted computing. IEEE Access. 8, 25722–25726 (2020). https://doi.org/10.1109/ACCESS.2020.2969768

    Article  Google Scholar 

  15. Chen, Y., Luo, F., Li, T., Xiang, T., Liu, Z., Li, J.: A training-integrity privacy-preserving federated learning scheme with trusted execution environment. Inf. Sci. 522, 69–79 (2020). https://doi.org/10.1016/j.ins.2020.02.037

    Article  Google Scholar 

  16. Jonathan, D., Utkarsh, A., Ali, T., Adam, H.: DER-TEE: secure distributed energy resource operations through trusted execution environments. IEEE IoT J. 6(4), 6476–6486 (2019). https://doi.org/10.1109/JIOT.2019.2909768

    Article  Google Scholar 

  17. Shen, T., Jiang, J., Jiang, Y., et al.: DAENet: making strong anonymity scale in a fully decentralized network. IEEE Trans. Dependable Secure Comput. (2021)

    Google Scholar 

  18. Wu, L., Cai, H.J., Li, H.: SGX-UAM: a secure unified access management scheme with one time passwords via Intel SGX[J]. IEEE Access 9, 38029–38042 (2021)

    Article  Google Scholar 

  19. Schwarz, F., Rossow, C.: SENG, the SGX-enforcing network gateway: authorizing communication from shielded clients. In: 29th USENIX Security Symposium (USENIX Security 20),pp. 753–770 (2020)

    Google Scholar 

  20. Why use Arm architecture? Performant. Efficient. Compatible. https://developer.arm.com/architectures

  21. Intel Corporation. Intel® software guard extensions (Intel® SGX). Intel Labs (2013). https://software.intel.com/sgx

  22. ArXiv dataset and metadata of 1.7M+ scholarly papers across STEM. https://www.kaggle.com/Cornell-University/arxiv

  23. Adil, A., Kyungtae, K, Muhammad, S., Byoungyoung, L: Obliviate: A Data oblivious filesystem for intel SGX. In: 25th Annual Network and Distributed System Security Symposium, NDSS, San Diego, California, USA, 18–21 February 2018

    Google Scholar 

  24. Sasy, S.. Gorbunov, S.. Fletcher, CW.: ZeroTrace: oblivious memory primitives from Intel SGX. In: 25th Annual Network and Distributed System Security Symposium, NDSS, San Diego, California, USA, 18–21 February 2018

    Google Scholar 

  25. Bahmani, R., et al.: Secure multiparty computation from SGX. In: Kiayias, A. (ed.) FC 2017. LNCS, vol. 10322, pp. 477–497. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70972-7_27

    Chapter  Google Scholar 

  26. Zegzhda, D.P., Usov, E.S., Nikol’skii, A.V., Pavlenko, E.Y.: Use of Intel SGX to ensure the confidentiality of data of cloud users. Autom. Control Comput. Sci. 51(8), 848–854 (2017). https://doi.org/10.3103/S0146411617080284

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Oxford-Hainan Blockchain Research Institute, Chengmai, 571924, China

    Hong Lei, Yun Yan, Zijian Bao, Qinghao Wang & Yongxin Zhang

  2. Department of Computer Science and Engineering, Northeastern University, Shenyang, 110001, China

    Qinghao Wang, Yongxin Zhang & Wenbo Shi

Authors
  1. Hong Lei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yun Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zijian Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Qinghao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yongxin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wenbo Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qinghao Wang .

Editor information

Editors and Affiliations

  1. Hainan University, Haiukou, China

    Jieren Cheng

  2. Hainan University, Haikou, China

    Xiangyan Tang

  3. Hainan University, Haikou, China

    Xiaozhang Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lei, H., Yan, Y., Bao, Z., Wang, Q., Zhang, Y., Shi, W. (2021). SDSBT: A Secure Multi-party Data Sharing Platform Based on Blockchain and TEE. In: Cheng, J., Tang, X., Liu, X. (eds) Cyberspace Safety and Security. CSS 2020. Lecture Notes in Computer Science(), vol 12653. Springer, Cham. https://doi.org/10.1007/978-3-030-73671-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-73671-2_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73670-5

  • Online ISBN: 978-3-030-73671-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation