Skip to main content
SpringerLink
Log in

Teegraph: trusted execution environment and directed acyclic graph-based consensus algorithm for IoT blockchains

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Banerjee M, Lee J, Choo K K R. A blockchain future for Internet of things security: a position paper. Digit Commun Netw, 2018, 4: 149–160

    Article  Google Scholar 

  2. Christidis K, Devetsikiotis M. Blockchains and smart contracts for the Internet of things. IEEE Access, 2016, 4: 2292–2303

    Article  Google Scholar 

  3. Zheng Z B, Xie S A, Dai H N, et al. An overview of blockchain technology: architecture, consensus, and future trends. In: Proceedings of IEEE International Congress on Big Data, 2017

  4. Yuan Y, Wang F Y. Blockchain: the state of the art and future trends. Acta Autom Sin, 2016, 42: 481–494

    Google Scholar 

  5. IBM. IBM Watson IoT platform. 2019. https://www.ibm.com/us-en/marketplace/internet-of-things-cloud?mhsrc=ibmsearch_a&mhq=blockchain%20iot

  6. Li Z N, Yang Z Y, Xie S L, et al. Credit-based payments for fast computing resource trading in edge-assisted Internet of things. IEEE Int Thing J, 2019, 6: 6606–6617

    Article  Google Scholar 

  7. Bai L, Hu M, Liu M, et al. BPIIoT: a light-weighted blockchain-based platform for industrial IoT. IEEE Access, 2019, 7: 58381–58393

    Article  Google Scholar 

  8. Bach L, Mihaljevic B, Zagar M. Comparative analysis of blockchain consensus algorithms. In: Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018. 1545–1550

  9. Baird L. The Swirlds Hashgraph Consensus Algorithm: Fair, Fast, Byzantine Fault Tolerance. Technical Report, 2016

Download references

Acknowledgements

The work was supported by National Key R&D Program of China (Grant No. 2016YFB-1000100), National Natural Science Foundation of China (Grant No. 61772030), and GF Innovative Research Program.

Author information

Authors and Affiliations

  1. College of Computer, National University of Defense Technology, Changsha, 410073, China

    Xiang Fu, Huaimin Wang, Peichang Shi, Xingkong Ma & Xunhui Zhang

Authors
  1. Xiang Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huaimin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peichang Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xingkong Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xunhui Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiang Fu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fu, X., Wang, H., Shi, P. et al. Teegraph: trusted execution environment and directed acyclic graph-based consensus algorithm for IoT blockchains. Sci. China Inf. Sci. 65, 139104 (2022). https://doi.org/10.1007/s11432-019-1516-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-019-1516-3

Search

Navigation