Offline Arbitrated Quantum Blind Dual-Signature Protocol with Better Performance in Resisting Existential Forgery Attack

Sun, Hong-Wei; Zhang, Long; Zuo, Huijuan; Zhang, Kejia; Ma, Chunguang

doi:10.1007/s10773-018-3791-6

Cited by 9 publications

(12 citation statements)

References 37 publications

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Section: Comparison and Discussionmentioning

confidence: 99%

“…The main compared indexes include computational overhead of the signature and verification, with the increasing number of blockchain nodes, as shown in Figure 6a,b. The lattice-based multi-signature [16,17] are quantum blind dual-signature [31] methods are selected as typical samples for comparison. In the computer simulation of Figure 6, the quantum blind dual-signature [31] and our proposed quantum blind multi-signature scheme have advantages over the lattice-based multi-signature method [16,17] in both the signing stage and the verification stage.…”

Section: Comparison and Discussionmentioning

confidence: 99%

“…To improve the signature security, the authors of [16] introduced a multi-signature technology into decentralized energy trading blockchains, and the authors of [17] described a multi-signature scheme for enterprise blockchain platforms. To protect the transaction privacy in multi-party business blockchain, the authors of [31] put forward an offline arbitrated quantum blind dual-signature protocol to resist existential forgery attacks, and it could provide absolute security of quantum signature and the anonymity of the signers. The authority of the arbitrator is reduced to be offline in [31], so that it is not compulsory for an arbitrator to verify the signatures.…”

Section: Relevant Workmentioning

confidence: 99%

“…To protect the transaction privacy in multi-party business blockchain, the authors of [31] put forward an offline arbitrated quantum blind dual-signature protocol to resist existential forgery attacks, and it could provide absolute security of quantum signature and the anonymity of the signers. The authority of the arbitrator is reduced to be offline in [31], so that it is not compulsory for an arbitrator to verify the signatures. To resist quantum attacks, the authors of [8] considered a threshold-based multi-secret sharing for post-quantum secure blockchain.…”

Section: Relevant Workmentioning

confidence: 99%

“…In a multi-party transaction of industrial blockchain, there are multiple traders [1,2,8], as shown in Figure 1. Every transaction is denoted as a unique transaction ID, where each trader should verify the previous quantum signature, and then make his quantum signature before sending the transaction message to the next trader [16,17,30,31]. These quantum signatures and verifications constitute a chain structure in a transaction business.…”

Section: Multi-party Blockchain Transactionmentioning

confidence: 99%

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A Quantum Blind Multi-Signature Method for the Industrial Blockchain

Cai

Shi

Han

et al. 2021

Entropy

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Traditional anti-quantum methods and multi-signature technologies to secure the blockchain against quantum attacks will quickly reduce the efficiency and scalability of the industrial blockchain, where the computational resources will experience a polynomial rise with the increasing number of traders. Here, a quantum blind multi-signature method is proposed for the multi-party transaction to provide anti-quantum security. First, the proposed multi-party transaction frame and quantum key distribution in the industrial blockchain are introduced. It integrates a novel quantum blind multi-signature algorithm that is based on the quantum entanglement mechanism, and it is absolutely secure in theory. Second, the anti-quantum multi-signature algorithm is illustrated, where there are four phases, i.e., initialization, signing, verification, and implementation. Third, the security and complexity of the proposed framework are analyzed and compared with related methods in references, and our proposed method is verified to be able to offer good computational performance and blockchain scalability for multi-party transaction. Last, the paper is summarized and future research directions are proposed.

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Section: Comparison and Discussionmentioning

confidence: 99%