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A New Quantum Private Query Protocol with Better Performance in Resisting Joint-Measurement Attack

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Artificial Intelligence and Security (ICAIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11635))

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Abstract

Quantum private query (QPQ) as a kind of protocol with strong practicability, its research depth is deepening. However, joint measurement (JM) attack poses a threat to the security of databases in protocol. Specifically, a malicious user can illegally obtain entries more than the average number of honest users from the database. Taking Jakobi et al.’s protocol as an example, a malicious user can obtain up to 500 bits from a database of 104 bits in one query instead of the expected 2.44 bits. In order to prevent JM attack, we design a new quantum private query protocol which has the similar procedure of raw oblivious key generation with Wei Chunyan et al.’s and Jakobi et al.’s. In our protocol, we add a step that Alice has to send back the measured qubits after some operation which ensures she must measure honestly. Therefore, our protocol can protect database security in theoretically, and the protocol can also improve the communication transmission distance because the photons Alice returns to Bob is re-prepared by her. Moreover, our protocol keeps the good peculiarities of QKD-based QPQs, e.g., its loss tolerant and robust against quantum memory attack.

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Acknowledgments

This paper is supported by Development of quantum cryptography equipment and terminal modules for distribution of electricity business (536800170042).

Author information

Authors and Affiliations

  1. Fuzhou Power Supply Branch, State Grid Fujian Power Co., Ltd., Fuzhou, Fujian, China

    Xi Chen, Shangjun He, Gonghua Hou, Lifan Yang & Lin Lin

  2. State Grid Xintong Yili Technology Co., Ltd., Fuzhou, Fujian, China

    Ruyi Chen

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Ningcheng Yuan

Authors
  1. Xi Chen
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  2. Shangjun He
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  3. Gonghua Hou
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  4. Lifan Yang
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  5. Lin Lin
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  7. Ningcheng Yuan
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Correspondence to Xi Chen .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Chen, X. et al. (2019). A New Quantum Private Query Protocol with Better Performance in Resisting Joint-Measurement Attack. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_48

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  • DOI: https://doi.org/10.1007/978-3-030-24268-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24267-1

  • Online ISBN: 978-3-030-24268-8

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