Skip to main content
SpringerLink
Log in

Performance Evaluation of Hyperledger Fabric with Malicious Behavior

  • Conference paper
  • First Online:
Blockchain – ICBC 2019 (ICBC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11521))

Included in the following conference series:

Abstract

Hyperledger Fabric is a widely-used permissioned blockchain platform for enterprise consortium applications. It adopts Practical Byzantine Fault Tolerance (PBFT) algorithm as the consensus protocol in its version 0.6. Faulty replicas could intentionally delay messages, be not responsive and send inconsistent messages to different replicas. Faulty clients and replicas could also launch denial-of-service attack to make resources unavailable. The malicious behavior significantly undermines the system. However, the existing performance evaluation for Fabric is accomplished in a fault-free environment without malicious behaviors. In this paper, we analyze the impact of malicious behavior, design malicious behavior patterns and test the blockchain performance on Hyperledger Fabric.

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. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008)

    Google Scholar 

  2. Ethereum blockchain app platform. https://www.ethereum.org/

  3. Hyperledger Fabric. https://www.hyperledger.org/projects/fabric/

  4. Fabric version 0.6 source code. https://github.com/hyperledger/fabric/tree/v0.6

  5. Castro, M., Liskov, B.: Practical Byzantine fault tolerance. In: Proceedings of the Third Symposium on Operating Systems Design and Implementation, pp. 173–186. USENIX Association (1999)

    Google Scholar 

  6. Androulaki, E., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Proceedings of the Thirteenth EuroSys Conference (2018)

    Google Scholar 

  7. Dinh, T., et al.: BLOCKBENCH: a framework for analyzing private blockchains. In: Proceedings of ACM International Conference on Management of Data, pp. 1085–1100. ACM (2017)

    Google Scholar 

  8. Hyperledger Caliper. https://www.hyperledger.org/projects/caliper

  9. Sukhwani, H.: Performance modeling and analysis of Hyperledger Fabric (permissioned blockchain network)(2018)

    Google Scholar 

  10. Gilad, Y., et al.: Algorand: scaling byzantine agreements for cryptocurrencies. In: 26th Proceedings on Operating Systems Principles, pp. 51–68. ACM (2017)

    Google Scholar 

Download references

Acknowledgement

The work described in this paper was supported by the National Key Research and Development Program (2016YFB1000101).

Author information

Authors and Affiliations

  1. Tsinghua University, Beijing, China

    Shuo Wang

Authors
  1. Shuo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shuo Wang .

Editor information

Editors and Affiliations

  1. University of Pittsburgh, Pittsburgh, PA, USA

    James Joshi

  2. CSIRO Data61, Sydney, NSW, Australia

    Surya Nepal

  3. IBM Research – Thomas J. Watson Research Center, Yorktown Heights, NY, USA

    Qi Zhang

  4. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, S. (2019). Performance Evaluation of Hyperledger Fabric with Malicious Behavior. In: Joshi, J., Nepal, S., Zhang, Q., Zhang, LJ. (eds) Blockchain – ICBC 2019. ICBC 2019. Lecture Notes in Computer Science(), vol 11521. Springer, Cham. https://doi.org/10.1007/978-3-030-23404-1_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23404-1_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23403-4

  • Online ISBN: 978-3-030-23404-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation