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

Area of Science:

• Computer Science
• Cryptography
• Quantum Computing

Background:

• Traditional anti-quantum and multi-signature methods hinder industrial blockchain efficiency and scalability due to computational resource demands.
• Quantum attacks pose a significant threat to existing blockchain security protocols.
• The increasing number of traders exacerbates computational resource requirements in industrial blockchains.

Purpose of the Study:

• To propose a novel quantum blind multi-signature method for securing multi-party transactions in industrial blockchains.
• To provide theoretical absolute security against quantum attacks.
• To enhance computational performance and blockchain scalability.

Main Methods:

• Integration of a quantum blind multi-signature algorithm based on quantum entanglement.
• Development of a multi-party transaction framework incorporating quantum key distribution.
• Illustration of the anti-quantum multi-signature algorithm through four phases: initialization, signing, verification, and implementation.

Main Results:

• The proposed quantum blind multi-signature method offers theoretical absolute security.
• Analysis and comparison demonstrate good computational performance.
• The framework verifies its ability to provide enhanced blockchain scalability for multi-party transactions.

Conclusions:

• The novel quantum blind multi-signature method effectively addresses the limitations of traditional approaches.
• The proposed framework provides a secure and scalable solution for industrial blockchains facing quantum threats.
• Future research directions include further optimization and practical implementation.