Public-key quantum digital signature scheme with one-time pad private-key

Chen, Fenglin; Liu, Wanfang; Chen, Su-Gen; Wang, Zhihua

doi:10.1007/s11128-017-1778-5

Cited by 25 publications

(9 citation statements)

References 22 publications

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“…Schemes for Digital Signature Algorithms are based on parameters such as Efficiency, Anonymity Services, Security and Enhanced signing and verification capabilities [7]. Of the available schemes, the Batch scheme has been the most favourably opted, seconded by the Forward Secure scheme.…”

Section: Literature Surveymentioning

confidence: 99%

HD-Sign: Hardware Based Digital Signature Generation Using True Random Number Generator

Anahita¹,

Krishnapriya²,

Prasad³

et al. 2018

IJET

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With the recent advancements in the field of computing, a fair share of easier and safer practices to exchange and share information between multiple parties have propped up. While some of these are improvisations, a few such as the Digital Signatures, have fast replaced conventional signing practices. It’s wide use and acceptance in the industry as well as officially, has necessitated higher security to protect data integrity and privacy. These digital Signatures are generated on the basis of various schemes that are designed to accommodate efficiency, crypto security and algorithmic complexity. This paper proposes an alternate method named HD-SIGN for generating these digital signatures in accordance with Secure Hash Function and 512-bit SRNN cryptographic algorithm. With the aid of a TRNG module, a modification to produce a large number with two prime factors and a set of natural numbers in a pair of public and private keys has been incorporated. The LSFR based TRNG module which helps maintain the ‘True Randomness’ of any generated number has been used for this purpose. Further, the random nature of the generated sequence to be used in the digital signature, has been tested with the help of standard NIST tests. The Hamming distance has also been analyzed as a security metric for the proposal, implying the degree of unpredictability of the generated true random sequences.

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Section: Literature Surveymentioning

confidence: 99%

HD-Sign: Hardware Based Digital Signature Generation Using True Random Number Generator

Anahita¹,

Krishnapriya²,

Prasad³

et al. 2018

IJET

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“…Mining here is not necessary to make great savings on computing resources, which greatly saves computing resources and increases the speed of block generation. Different from other quantum signature methods 14 , 15 , 16 , this method is not constrained 19 , 20 by probabilities and does not require a large number of one-time pads, which thus saves substantial communication overheads. Discussions about security models and quantum information-theoretical security are introduced in the security analysis.…”

Section: Introductionmentioning

confidence: 99%

Quantum blockchain based on asymmetric quantum encryption and a stake vote consensus algorithm

Wang

2022

Sci Rep

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As emerging next-generation information technologies, blockchains have unique advantages in information transparency and transaction security. They have attracted great attentions in social and financial fields. However, the rapid development of quantum computation and the impending realization of quantum supremacy have had significant impacts on the advantages of traditional blockchain based on traditional cryptography. Here, we propose a blockchain algorithm based on asymmetric quantum encryption and a stake vote consensus algorithm. The algorithm combines a consensus algorithm based on the delegated proof of stake with node behaviour and Borda count (DPoSB) and quantum digital signature technology based on quantum state computational distinguishability with a fully flipped permutation ($${\text{QSC}}{\text{D}}_{\text{ff}}$$ QSCD ff ) problem. DPoSB is used to generate blocks by voting, while the quantum signature applies quantum one-way functions to guarantee the security of transactions. The analysis shows that this combination offers better protection than other existing quantum-resistant blockchains. The combination can effectively resist the threat of quantum computation on blockchain technology and provide a new platform to ensure the security of blockchain.

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“…In 2002, Zeng and Keitel [ 12 ] proposed the first arbitrated quantum signature protocol based on the Green–Horne–Zeilinger (GHZ) state. Since then, various quantum signature protocols have been proposed, for example, arbitrated quantum signature [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ], quantum blind signature [ 21 , 22 , 23 , 24 , 25 , 26 ], quantum proxy signature [ 27 , 28 ], and quantum group signature [ 29 ]. Inspired by the above quantum signature schemes [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ], Zhao et al [ 30 ] proposed a signature scheme based on the concept of “bi-signature.” In Zhao et al’s quantum bi-signature protocol, two participants sign their signatures on the same message.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of a Semi-Quantum Bi-Signature Scheme Based on W States

Yang

Lin

Tsai

et al. 2022

Entropy

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Recently, Zhao et al. proposed a semi-quantum bi-signature (SQBS) scheme based on W states with two quantum signers and just one classical verifier. In this study, we highlight three security issues with Zhao et al.’s SQBS scheme. In Zhao et al.’s SQBS protocol, an insider attacker can perform an impersonation attack in the verification phase and an impersonation attack in the signature phase to capture the private key. In addition, an eavesdropper can perform a man-in-the-middle attack to obtain all of the signer’s secret information. All of the above three attacks can pass the eavesdropping check. Without considering these security issues, the SQBS protocol could fail to ensure the signer’s secret information.

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Public-key quantum digital signature scheme with one-time pad private-key

Cited by 25 publications

References 22 publications

HD-Sign: Hardware Based Digital Signature Generation Using True Random Number Generator

HD-Sign: Hardware Based Digital Signature Generation Using True Random Number Generator

Quantum blockchain based on asymmetric quantum encryption and a stake vote consensus algorithm

Cryptanalysis of a Semi-Quantum Bi-Signature Scheme Based on W States

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