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A Quantum Blind Multi-Signature Method for the Industrial Blockchain.

Zhengying CaiShi LiuZhangyi HanRui WangYuehua Huang
Published in: Entropy (Basel, Switzerland) (2021)
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.
Keyphrases
  • molecular dynamics
  • energy transfer
  • monte carlo
  • heavy metals
  • wastewater treatment
  • deep learning
  • risk assessment
  • public health
  • quantum dots
  • current status