Quantum private comparison protocol with cloud quantum computing

Tan, Xiaoqing; Zhang, Xiaoqian

doi:10.1002/cpe.3490

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…The security of quantum cryptography relies on the fundamental laws of quantum mechanics instead of the complex mathematical problems involved in classical cryptography. In the prospect of quantum cryptography, many branches have been established, such as quantum key distribution (QKD), [1][2][3] quantum secure direct communication (QSDC), 4,5 quantum private comparison protocol, 6 quantum teleportation, [7][8][9] quantum digital signature, 10,11 quantum image encryption, [12][13][14] and quantum visual secret sharing. 15,16 Similarly, quantum secret sharing (QSS) is one of the crucial research problems in secure communication.…”

Section: Introductionmentioning

confidence: 99%

Quantum secret sharing protocol through noisy channel with application in visual cryptography

Rathi,

Kumar,

Musanna

et al. 2023

Concurrency and Computation

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SummaryThis study presents a quantum secret sharing (QSS) protocol designed using Grover's search algorithm in a noisy environment. The proposed protocol utilizes Grover's three‐particle quantum state. The proposed scheme is divided into secret information sharing and eavesdropping checking. The dealer prepares an encoded state by encoding the classical information as a marked state and shares the states' qubits between three participants. Using the amplitude‐damping noise and the phase‐damping noise as conventional noisy channels, it can be demonstrated that secret information can be conveyed between participants with some information lost. The security analysis shows the scheme is stringent against malicious participants or eavesdroppers. The simulation analysis is done on the cloud platform IBM‐QE thereby showing the practical feasibility of the scheme. Finally, an application of the proposed scheme is demonstrated in visual cryptography using the GNEQR representation of images.

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Section: Introductionmentioning

confidence: 99%

Quantum secret sharing protocol through noisy channel with application in visual cryptography

Rathi,

Kumar,

Musanna

et al. 2023

Concurrency and Computation

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“…SMQC can provide the unconditional security because some physical principles of quantum mechanics (e.g., quantum noncloning theorem and Heisenbergs uncertainty principle) are adopted. Since the pioneering work of quantum cryptography was proposed by Bennett and Brassard [5] in 1984, various SMQC protocols have been proposed, such as quantum secret sharing [6], quantum anonymous voting and surveying [7] and quantum private comparison (QPC) [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Two-party quantum private comparison based on eight-qubit entangled state

Fan,

Rahman,

et al. 2021

Preprint

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Quantum private comparison (QPC) aims to solve "Tiercé problem" based on the laws of quantum mechanics, where the "Tiercé problem" is to determine whether the secret data of two participants are equal without disclosing the data. In this paper, we study, for the fist time, the utility of the eight-qubit entangled state for QPC. We propose a new QPC protocol, which enables two participants to compare the equality of their private data. In the proposed protocol, only single-particle measurements are employed except necessary technologies such as preparing quantum states. We show that the security towards both the outsider attack and the insider attack can be guaranteed.

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“…We encourage the readers to review to gain insight into the latest innovations in the platform in the context of big data, such as fog computing , a new paradigm that extends cloud computing and services to the edge of the network, and private comparison in quantum cloud computing .…”

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confidence: 99%

Security and privacy in big data

Xiang

Kutylowsky

2016

Concurrency and Computation

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The goal of this special issue is to collate a selection of representative research articles that were primarily presented at the 8th International Conference on Network and System Security (NSS 2014). This annual conference brings together researchers and practitioners in the world from both academia and industry who are working on network and system security, in order to foster interaction between researchers and developers, promote an exchange of ideas, discuss future collaborations, and develop new research directions.The recent advances in technology result in an explosive growth of data available. Sources such as sensors, social networks, Internet of Things, and the Internet are generating 2.5 quintillion bytes of data every day. With the vision of extracting useful knowledge and the promise of data-driven decisionmaking, big data have been emerging as a hot topic in the research community. While the benefits of big data are clear, it also introduces technical difficulties because of its scale, complexity, and heterogeneity. This special issue presents many examples of how researchers, scholars, vendors, and practitioners are collaborating to address security and privacy research challenges.The scope of this special issue is broad and is representative of the multi-disciplinary nature of security and privacy. In addition to submissions that deal with security challenges, privacy issues, theoretical analysis, algorithms, protocols, and practical experience in the context of big data, this issue also includes articles that address practical challenges with handling large-scale data at the infrastructure level.Addressing the privacy and security concerns in big data is a central topic of this issue. Chen et al. To protect real-world data across various platforms, key management is an essential issue. Qin et al. [5] propose two lightweight group key distribution schemes to solve the problem of efficient subgroup and intergroup communication in vehicular ad hoc networks. Biometrics has been gaining popularity, due to the increasing concerns of identity fraud and the need for identity recognition. Zhou et al. [6] improve the performance of fingerprint indexing through the combination of local and global reconstructed features.In the era of big data, resources are located in a heterogeneous network environment. Fang et al.[7] address the problem of secure routing and resource allocation in cooperative cognitive radio networks based on game theory. Yang et al.[8] provide a new design on handover authentication in the wireless mesh network through an improved key predistribution.We encourage the readers to review [9,10] to gain insight into the latest innovations in the platform in the context of big data, such as fog computing [9], a new paradigm that extends cloud computing and services to the edge of the network, and private comparison in quantum cloud computing [10].We are grateful for the time and effort of the international reviewers. We deeply thank Professor Geoffrey C. Fox, the editor-in-chief, for pr...

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Quantum private comparison protocol with cloud quantum computing

Cited by 5 publications

References 29 publications

Quantum secret sharing protocol through noisy channel with application in visual cryptography

Quantum secret sharing protocol through noisy channel with application in visual cryptography

Two-party quantum private comparison based on eight-qubit entangled state

Security and privacy in big data

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