Research on the Construction of Grain Food Multi-Chain Blockchain Based on Zero-Knowledge Proof

Area of Science:

• Computer Science
• Agricultural Science

Background:

• Grain quality and safety are critical for global health.
• The grain food supply chain faces challenges in data management, privacy, and sharing.
• Existing systems struggle with information processing and coordination amidst numerous risk factors.

Purpose of the Study:

• To develop an information management model for the grain food supply chain using blockchain multi-chain technology.
• To enhance data security, credibility, and collaborative consensus within the supply chain.
• To address limitations of traditional single-chain research in data differential sharing and storage redundancy.

Main Methods:

• Analysis of grain food supply chain information to classify privacy data.
• Construction of a multi-chain network model for the grain food supply chain.
• Design of hierarchical encryption, storage, and cross-chain communication modes.
• Development of a consensus process using CPBFT, ZKP, and KZKP algorithms.
• Verification through performance simulation, theoretical analysis, and prototype system testing.

Main Results:

• The proposed model effectively reduces storage redundancy compared to single-chain approaches.
• It addresses data differential sharing issues prevalent in traditional supply chain management.
• The system provides secure data protection, credible data interaction, and efficient multi-chain consensus.
• Performance simulations confirmed the model's correctness, security, scalability, and consensus efficiency.

Conclusions:

• Blockchain multi-chain technology offers a viable solution for trusted data protection in the grain food supply chain.
• The developed model provides a secure, credible, and efficient mechanism for information management and collaborative consensus.
• This research opens new avenues for applying advanced blockchain solutions to agricultural supply chains.