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A Blockchain-Based Risk Assessment Model for Heterogeneous Identity Alliance

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Advances in Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1588))

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Abstract

Heterogeneous identity alliance technology solves the identity management problem under heterogeneous networks by building a unified and trusted identity management system, while the risk assessment system of heterogeneous identity alliance can analyze potential security problems in heterogeneous identity alliance in advance, so as to realize timely supervision and maintenance of identity when crossing domains and reduce the proliferation of security problems. A blockchain-based risk assessment model for heterogeneous identity alliance is proposed for existing risk assessment systems that are generally centralized architectures with single point of failure, internal mischief, and loss of control of user data. The model uses attribute encryption to guarantee the secure storage of privacy data, while ensuring that the control of risk assessment-related data is always in the hands of the data owner, and simplifies the three-stage PBFT (Practical Byzantine Fault Tolerance) consensus to two stages to improve the efficiency of risk assessment result processing. Finally, a comparison experiment shows that compared to the three-stage PBFT, the two-stage PBFT reduces the number of communications to reach consensus and improves the throughput by about 7%.

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Acknowledgement

This work is supported by the Key Research and Development Project of Sichuan Province (No. 2021YFSY0012, No. 2020YFG0307, No. 2021YFG0332), the National Natural Science Foundation of China (No. 62076042), the Science and Technology Innovation Project of Sichuan (No. 2020017), the Key Research and Development Project of Chengdu (No. 2019-YF05–02028-GX), the Innovation Team of Quantum Security Communication of Sichuan Province (No. 17TD0009), the Academic and Technical Leaders Training Funding Support Projects of Sichuan Province (No. 2016120080102643).

Author information

Authors and Affiliations

  1. School of Cybersecurity, Chengdu University of Information Technology, Chengdu, 610225, China

    Yanbo Yang, Wunan Wan, Shibin Zhang, **quan Zhang & Zhi Qin

  2. Advanced Cryptography and System Security Key Laboratory of Sichuan Province, Chengdu, 610255, China

    Wunan Wan, Shibin Zhang, **quan Zhang & Zhi Qin

  3. International Business Machines Corporation (IBM), New York, 10041 NY 212, USA

    **yue **a

Authors
  1. Yanbo Yang
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  2. Wunan Wan
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  3. Shibin Zhang
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  4. **quan Zhang
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  5. Zhi Qin
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  6. **yue **a
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Corresponding author

Correspondence to Wunan Wan .

Editor information

Editors and Affiliations

  1. Nan**g University of Information Science and Technology, Nan**g, China

    **ngming Sun

  2. Nan**g University of Information Science and Technology, Nan**g, China

    **aorui Zhang

  3. **an University, Guangzhou, China

    Zhihua **a

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Yang, Y., Wan, W., Zhang, S., Zhang, J., Qin, Z., **a, J. (2022). A Blockchain-Based Risk Assessment Model for Heterogeneous Identity Alliance. In: Sun, X., Zhang, X., **a, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1588. Springer, Cham. https://doi.org/10.1007/978-3-031-06764-8_2

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  • DOI: https://doi.org/10.1007/978-3-031-06764-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06763-1

  • Online ISBN: 978-3-031-06764-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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