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A Delegation Attack Method on Attribute-Based Signatures and Probable Solutions

Author

Listed:
  • Jialu Hao

    (Xi’an Satellite Control Center, Xi’an 710043, China
    School of Electronic Science, National University of Defense Technology, Changsha 410073, China)

  • Wei Wu

    (Henan Key Laboratory of Network Cryptography Technology, Zhengzhou 450001, China
    State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China)

  • Shuo Wang

    (Xi’an Satellite Control Center, Xi’an 710043, China)

  • Xiaoge Zhong

    (Xi’an Satellite Control Center, Xi’an 710043, China)

  • Guang Chu

    (Xi’an Satellite Control Center, Xi’an 710043, China)

  • Feng Shao

    (Xi’an Satellite Control Center, Xi’an 710043, China)

Abstract

Attribute-based signature (ABS) assures the verifier that the message is endorsed by a signer whose attributes satisfy the claimed attribute policy (predicate); thus, it can provide identity authentication with privacy preservation in scenarios like anonymous communication and access control. However, we have found that the inherent delegatibility of attribute-based cryptography, which enables the utilization of relationship between policies, could make most of the existing ABS constructions not satisfy the unforgeability requirement under the common security model. In this paper, we dig into the delegatibility property of ABS for the first time and propose the potential delegation attack to break the unforgeability of the existing ABS constructions under the common security model. We also give two attack instances on a typical ABS construction to demonstrate the feasibility of the proposed delegation attack. Finally, we present two solutions to improve the above issue and give a further discussion about the delegatibility property of ABS.

Suggested Citation

  • Jialu Hao & Wei Wu & Shuo Wang & Xiaoge Zhong & Guang Chu & Feng Shao, 2022. "A Delegation Attack Method on Attribute-Based Signatures and Probable Solutions," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:gam:jmathe:v:11:y:2022:i:1:p:29-:d:1010554
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    References listed on IDEAS

    as
    1. Yanyan Gu & Limin Shen & Futai Zhang & Jinbo Xiong, 2022. "Provably Secure Linearly Homomorphic Aggregate Signature Scheme for Electronic Healthcare System," Mathematics, MDPI, vol. 10(15), pages 1-14, July.
    2. Francesc Garcia-Grau & Jordi Herrera-Joancomartí & Aleix Dorca Josa, 2022. "Attribute Based Pseudonyms: Anonymous and Linkable Scoped Credentials," Mathematics, MDPI, vol. 10(15), pages 1-14, July.
    3. Eunmok Yang & Velmurugan Subbiah Parvathy & P. Pandi Selvi & K. Shankar & Changho Seo & Gyanendra Prasad Joshi & Okyeon Yi, 2020. "Privacy Preservation in Edge Consumer Electronics by Combining Anomaly Detection with Dynamic Attribute-Based Re-Encryption," Mathematics, MDPI, vol. 8(11), pages 1-13, October.
    4. P. Chinnasamy & P. Deepalakshmi & Ashit Kumar Dutta & Jinsang You & Gyanendra Prasad Joshi, 2021. "Ciphertext-Policy Attribute-Based Encryption for Cloud Storage: Toward Data Privacy and Authentication in AI-Enabled IoT System," Mathematics, MDPI, vol. 10(1), pages 1-24, December.
    5. László T. Kóczy & Dalia Susniene & Ojaras Purvinis & Márta Konczosné Szombathelyi, 2022. "A New Similarity Measure of Fuzzy Signatures with a Case Study Based on the Statistical Evaluation of Questionnaires Comparing the Influential Factors of Hungarian and Lithuanian Employee Engagement," Mathematics, MDPI, vol. 10(16), pages 1-24, August.
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