New flexible quantum private query protocol against rotation noise

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Dong-Mei Liu ◽  
Li-Li Yan ◽  
Shi-Huan Xu ◽  
Chi Qiu ◽  
XI Huang
Keyword(s):  
Quantum Private Query

A Quantum Private Query Protocol for Enhancing both User and Database Privacy

2018 ◽  
Vol 69 (1) ◽  
pp. 31
Author(s):  
Yi-Hua Zhou ◽  
Xue-Wei Bai ◽  
Lei-Lei Li ◽  
Wei-Min Shi ◽  
Yu-Guang Yang
Keyword(s):  
Quantum Private Query ◽  
Database Privacy

Proposal for dimensionality testing in QPQ

2018 ◽  
Vol 18 (13&14) ◽  
pp. 1125-1142
Author(s):  
Arpita Maitra ◽  
Bibhas Adhikari ◽  
Satyabrata Adhikari
Keyword(s):  
Information Processing ◽  
Quantum Information ◽  
Quantum System ◽  
Quantum State ◽  
Quantum Information Processing ◽  
Quantum States ◽  
Quantum Private Query ◽  
Unfair Advantage ◽  
Security Proofs

Recently, dimensionality testing of a quantum state has received extensive attention (Ac{\'i}n et al. Phys. Rev. Letts. 2006, Scarani et al. Phys. Rev. Letts. 2006). Security proofs of existing quantum information processing protocols rely on the assumption about the dimension of quantum states in which logical bits are encoded. However, removing such assumption may cause security loophole. In the present paper, we show that this is indeed the case. We choose two players' quantum private query protocol by Yang et al. (Quant. Inf. Process. 2014) as an example and show how one player can gain an unfair advantage by changing the dimension of subsystem of a shared quantum system. To resist such attack we propose dimensionality testing in a different way. Our proposal is based on CHSH like game. As we exploit CHSH like game, it can be used to test if the states are product states for which the protocol becomes completely vulnerable.

A New Protocol for Quantum Private Query Against Joint-Measurement Attack

2019 ◽  
Vol 58 (6) ◽  
pp. 1828-1835
Author(s):  
Ying Wang ◽  
Fen-Zhuo Guo ◽  
Li Liu ◽  
Wei Huang ◽  
Qiao-Yan Wen
Keyword(s):  
Joint Measurement ◽  
Quantum Private Query

scholarly journals Security improvements of several basic quantum private query protocols with O(log N) communication complexity

2020 ◽  
Vol 807 ◽  
pp. 330-340 ◽  
Author(s):  
Fang Yu ◽  
Daowen Qiu ◽  
Xiaoming Wang ◽  
Qin Li ◽  
Lvzhou Li ◽  
...  
Keyword(s):  
Communication Complexity ◽  
Quantum Private Query

Practical Two-Way QKD-Based Quantum Private Query with Better Performance in User Privacy

2019 ◽  
Vol 58 (7) ◽  
pp. 2069-2080 ◽  
Author(s):  
Yan Chang ◽  
Shi-Bin Zhang ◽  
Guo-gen Wan ◽  
Li-Li Yan ◽  
Yan Zhang ◽  
...  
Keyword(s):  
User Privacy ◽  
Quantum Private Query

Quantum private query with perfect user privacy against a joint-measurement attack

2016 ◽  
Vol 380 (48) ◽  
pp. 4033-4038 ◽  
Author(s):  
Yu-Guang Yang ◽  
Zhi-Chao Liu ◽  
Jian Li ◽  
Xiu-Bo Chen ◽  
Hui-Juan Zuo ◽  
...  
Keyword(s):  
User Privacy ◽  
Joint Measurement ◽  
Quantum Private Query

Practical quantum private query based on Bell state

2019 ◽  
Vol 34 (24) ◽  
pp. 1950196 ◽  
Author(s):  
Tao Zheng ◽  
Shibin Zhang ◽  
Xiang Gao ◽  
Yan Chang
Keyword(s):  
Privacy Protection ◽  
Photon Number ◽  
Bell State ◽  
Trojan Horse ◽  
User Privacy ◽  
Quantum Private Query ◽  
Secret Information ◽  
Malicious Behavior ◽  
Wavelength Filter ◽  
Trojan Horse Attack

Quantum private query (QPQ) is a cryptographic application that protects the privacy of both users and databases while querying the database secretly. In most existing QPQ protocols, the protection of user privacy can only be cheat-sensitive. Cheat-sensitive means that Bob will be found later with a certain probability if he tries to get the address queried by Alice. On the premise of cheat-sensitivity, although Alice can discover Bob’s malicious behavior after a query (transaction), the secret information of Alice was leaked in the completed query, which is likely to be a fatal blow to Alice. Or, to prevent Bob’s malicious behavior, Alice executes one or more additional queries to test Bob’s honesty. However, to bypass Alice’s honesty test, Bob can also provide several honest queries before performing dishonest queries. Therefore, cheat-sensitive should not be the ultimate goal of user privacy protection in QPQ. In this paper, we propose a practical QKD-based QPQ protocol with better user privacy protection than cheat-sensitivity based on order rearrangement of qubits. The proposed QPQ protocol can resist the Trojan horse attack even without wavelength filter and photon number splitter (PNS) equipped with auxiliary monitoring detectors.

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