Skip to main content
SpringerLink
Log in

Privacy-Enhanced Multi-User Quantum Private Data Query Using Partial Quantum Homomorphic Encryption

  • Published:
International Journal of Theoretical Physics Aims and scope Submit manuscript

Abstract

Recently, people are paying more and more attention to privacy-enhanced computing, mostly because of the threat of network information leakage. In order to ensure the security of data in network communication, we have designed privacy-enhanced multi-user quantum private data query using partial quantum homomorphic encryption to facilitate the protection of the personal privacy of the database and users. Many QPQ protocols are based on QKD theory and lack the identity authentication of users. The protocols are vulnerable to external eavesdropping attacks. The identity authentication process of this scheme confirms the real identity of the user and avoids external eavesdropping attacks to a certain extent. The scheme allows the use of universal quantum circuits to perform quantum transformation on the user’s arbitrarily encrypted input data, which improves the accuracy of the data query process. In addition, the scheme applies partial quantum homomorphic encryption theory to multi-user quantum private data query, which can realize the function of n users querying data at the same time. We have implemented a security analysis on the scheme and compared with other QPQ protocols, we found that this scheme is safe and effective.

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

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Miljkovic, N.N., Stojanovic, A.D.: Multiparameter QKD authentication protocol design over optical quantum channel. Opt. Quant. Electron. 50, 319 (2018)

    Article  Google Scholar 

  2. Zebboudj, S., Omar, M., Deterministic, M.D.I.: QKD with two secret bits per shared entangled pair. Quantum Inf. Process. 17, 43 (2018)

    Article  ADS  MathSciNet  Google Scholar 

  3. Bebrov, G., Dimova, R.: Efficient quantum secure direct communication protocol based on Quantum Channel compression. Int. J. Theor. Phys. 59, 426–435 (2020)

    Article  MathSciNet  Google Scholar 

  4. Gertner, Y., Ishai, Y., Kushilevitz, E., Malkin, T.: Protecting data privacy in private information retrieval schemes. J. Comput. Syst. Sci. 60, 592–629 (2000)

    Article  MathSciNet  Google Scholar 

  5. Giovannetti, V., Lloyd, S., Maccone, L.: Quantum private queries. Phys. Rev. Lett. 100, 230502 (2008)

    Article  ADS  MathSciNet  Google Scholar 

  6. Martini, F.D., Giovannetti, V., Lloyd, S., Maccone, L., Nagali, E., Sansoni, L., Sciarrino, F.: Experi-mental quantum private queries with linear optics. Phys. Rev. A. 80, 010302 (2009)

    Article  Google Scholar 

  7. Jakobi, M., Simon, C., Gisin, N., Bancal, J.D., Branciard, C., Walenta, N., Zbinden, H.: Practical private database queries based on a quantum-key-distribution protocol. Phys. Rev. A. 83, 022301 (2011)

    Article  ADS  Google Scholar 

  8. Gao, F., Liu, B., Wen, Q.-Y.: Flexible quantum private queries based on quantum key distribution. Opt. Express. 20, 17411–17420 (2012)

    Article  ADS  Google Scholar 

  9. Yang, Y.G., Zhang, M.O., Yang, R.: Private database queries using one quantum state. Quantum Inf. Process. 14, 1017–1024 (2015)

    Article  ADS  MathSciNet  Google Scholar 

  10. Pei, T.R., Meng, X.L., Wei, C.Y., Gao, F., Tian, S.J., Deng, Q.Y.: Practical quantum private query of blocks based on the two-dimensional QKD system. Quantum Inf. Process. 18, 240 (2019)

    Article  ADS  Google Scholar 

  11. Chang, Y., Zhang, S.B., Wan, G.G., Yan, L.L., Zhang, Y., Li, X.Y.: Practical two-way QKD-based quantum private query with better performance in user privacy. Int. J. Theor. Phys. 58, 2069–2080 (2019)

    Article  Google Scholar 

  12. Ye, T.-Y., Li, H.-K., & Hu, J.-L. Multi-user quantum private query protocol. Int. J. Theor. Phys. (2020)

  13. Rohde, P.P., Fitzsimons, J.F., Gilchrist, A.: Quantum walks with encrypted data. Phys. Rev. Lett. 109(15), 150501 (2012)

    Article  ADS  Google Scholar 

  14. Min, L.: Symmetric quantum fully homomorphic encryption with perfect security. Quantum Inf. Process. 12, 3675–3687 (2013)

    Article  MathSciNet  Google Scholar 

  15. Wang, Y., She, K., Luo, Q., Fan, Y., Chao, Z.: Symmetric weak ternary quantum homomorphic encryption schemes. Mod. Phys. Lett. B. 30, 1650076 (2016)

    Article  ADS  MathSciNet  Google Scholar 

  16. Min, L.: Quantum fully homomorphic encryption scheme based on universal quantum circuit. Quantum Inf. Process. 14, 1–11 (2015)

    Article  MathSciNet  Google Scholar 

  17. Gong, C., Du, J., Dong, Z., et al.: Grover algorithm-based quantum homomorphic encryption ciphertext retrieval scheme in quantum cloud computing. Quantum Inf. Process. 19, 105 (2020)

    Article  ADS  Google Scholar 

  18. Sun, X., Wang, T., Sun, Z., Ping, W., Yu, J., Xie, W.: An efficient quantum somewhat homomorphic symmetric searchable encryption. Int. J. Theor. Phys. 56, 1–11 (2017)

    Article  MathSciNet  Google Scholar 

  19. Zhou, Q., Lu, S.: Quantum Search on Encrypted Data Based on Quantum Homomorphic Encryption (2020)

  20. Yang, Y., Wen, Q., Zhang, X.: Multiparty simultaneous quantum identity authentication with secret sharing. Sci. China Ser. G-Phys. Mech. As. 51, 321–327 (2008)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Liaoning Provincial Natural Science Foundation of China (Grant No. 2019-MS-286), and Basic Scientific Research Project of Liaoning Provincial Department of Education (Grant No. LJC202007).

Author information

Authors and Affiliations

  1. Software College, Shenyang Normal University, No.253, HuangHe Bei Street, HuangGu District, Shenyang, 110034, China

    Hongfeng Zhu, Liwei Wang & Chaonan Wang

Authors
  1. Hongfeng Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Liwei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chaonan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hongfeng Zhu.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhu, H., Wang, L. & Wang, C. Privacy-Enhanced Multi-User Quantum Private Data Query Using Partial Quantum Homomorphic Encryption. Int J Theor Phys 60, 2090–2101 (2021). https://doi.org/10.1007/s10773-021-04827-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10773-021-04827-8

Keywords

Search

Navigation