An Efficient Protocol for the Quantum Private Comparison of Equality With a Four-Qubit Cluster State

Xu, Guizhi; Chen, Xiu-Bo; Wei, Zhanhong; Li, Mengjiao; Yang, Yixian

doi:10.1142/s0219749912500451

Cited by 42 publications

(18 citation statements)

References 15 publications

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“…In Table 2, we make a comparison between our protocol and the existing ones proposed in Refs. [29][30][31][32][33][34][35][36][37][38][39][40][41]. In our protocol, the GHZ states are prepared by participants rather than by TP, which to some extent, improves the security and efficiency of the protocol.…”

Section: Discussionmentioning

confidence: 99%

Greenberger-Horne-Zeilinger-based quantum private comparison protocol with bit-flipping

Ji¹,

Fan²,

Zhang³

et al. 2019

Preprint

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By introducing a semi-honest third party, we propose in this paper a novel QPC protocol using (n + 1)qubit (n ≥ 2) Greenberger-Horne-Zeilinger (GHZ) states as information carriers. The parameter n not only determines the number of qubits contained in a GHZ state, but also determines the probability that the third party can successfully steal the participants' data and the qubit efficiency. Our protocol uses the keys generated by quantum key distribution and bit-flipping for privacy protection, making both outsider and insider attacks invalid. In addition, our protocol does not employ any other quantum technologies (e.g., entanglement swapping and unitary operation) except necessary technologies such as preparing quantum states and quantum measurement, which can reduce the need for quantum devices. Furthermore, the GHZ states are prepared by participants rather than by the third party, which can reduce potential security risks.

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Section: Discussionmentioning

confidence: 99%

Greenberger-Horne-Zeilinger-based quantum private comparison protocol with bit-flipping

Ji¹,

Fan²,

Zhang³

et al. 2019

Preprint

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show abstract

“…Compared with previous QPC schemes [34,35], two participants have no shared secrets. Different from the QPC with triplet entanglements [37], W state [38,43] or χ state [41,42], our scheme is based on Bell states. In our schemes, the semi-honest center has no information about the secret and the comparison result [37].…”

Section: Discussionmentioning

confidence: 99%

“…Because two EPR pairs can be used to compare the two bits of secret information between two parties, the qubit efficiency is 50% (i.e., η E = 50%). The proposed QPC protocol requires only a classical semi-honest center and not a quantum semi-honest center [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53] to complete the task.…”

Section: Correctnessmentioning

confidence: 99%

“…The classical private comparison scheme may be extended to the quantum case using quantum entanglement [34,35]. Until now, many QPC schemes [36][37][38][39][40][41][42][43][44][45][46][47] have been proposed to improve the security and comparison efficiency. Most of these protocols use the trust or semi-honest center, which can implement the quantum operations, to complete the comparison task.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantum private comparison based on quantum dense coding

Wang

Luo

et al. 2016

Sci. China Inf. Sci.

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A serious problem in cloud computing is privacy information protection. This study proposes a new private comparison protocol using Einstein-Podolsky-Rosen (EPR) pairs. This protocol allows two parties to secretly compare their classical information. Quantum dense coding enables the comparison task to be completed with the help of a classical semi-honest center. A one-step transmission scheme and designed decoy photons can be used against various quantum attacks. The new protocol can ensure fairness, efficiency, and security. The classical semi-honest center cannot learn any information about the private inputs of the players. Moreover, this scheme can be easily generalized using the general EPR pairs in order to improve the transmission efficiency.

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“…QPC) (Liu et al 2012;Chen et al , 2010Xu et al 2012;Tseng et al 2012;Chang et al 2013;Chen and Hwang 2014) as a special branch of SMC were proposed to solve a variant of the millionaire problem. The main function of QPC protocol is to compare the equality of the secret information of two parties privately, without disclosing any actual information.…”

Section: Introductionmentioning

confidence: 99%

Big data quantum private comparison with the intelligent third party

Tan

Zhang

Jin

2015

J Ambient Intell Human Comput

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Big data is often thought as a large number of virous unstructured forms of data. Expensive intelligent computing engineering techniques of critical systems that are not cost-effective for non-critical systems may sometimes be used as a intelligent protection system. The private comparison is to compare the equality of the secret information of two parties privately, without disclosing any actual information. These secret information of two parties are big data that need to be analysed for comparison privately in critical system. Quantum private comparison is more safer than classic private comparison based on the theory of quantum mechanics. In this paper, a big data quantum private comparison scheme with intelligent third party is proposed. Two distrustful parties Alice and Bob compare the equivalence of big data information by quantum computing with the help of the intelligent robot belonged to a semi-honest third party Calvin. The participants including the intelligent robot are just required having the ability to prepare photons and perform measurement, which makes the presented protocol be more feasible in technique. The transmitted particles is in the anticlockwise order with a circle that make the transferred private information to be more safe. The technique of entanglement swapping makes the comparison be achieved with the help of the intelligent robot. Due to the photon transmission is a one-way distribution, the Trojan horse attack can be automatically avoided. It is secure against the various well-known attacks.

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An Efficient Protocol for the Quantum Private Comparison of Equality With a Four-Qubit Cluster State

Cited by 42 publications

References 15 publications

Greenberger-Horne-Zeilinger-based quantum private comparison protocol with bit-flipping

Greenberger-Horne-Zeilinger-based quantum private comparison protocol with bit-flipping

Quantum private comparison based on quantum dense coding

Big data quantum private comparison with the intelligent third party

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