Trusted-auditing chain: A security blockchain prototype used in agriculture traceability.

Area of Science:

• Agricultural Science
• Computer Science
• Data Security

Background:

• Blockchain tracking systems offer enhanced data access for food safety but face transparency, privacy, and security challenges.
• The growing demand for agile, private, and secure traceability solutions necessitates rethinking current blockchain agricultural traceability structures.

Purpose of the Study:

• To propose a novel blockchain-based prototype for reliable and secure storage of agricultural traceability data.
• To enhance the credibility of traceability data through completeness auditing and address existing system limitations.

Main Methods:

• Leveraging blockchain attributes like tamper-evidence, security hash crypto-data, and distributed ledger.
• Developing the Trusted Auditing (TA) chain prototype incorporating Schnorr-style non-interactive Zero-knowledge proof for privacy augmentation.
• Implementing completeness auditing for enhanced data credibility.

Main Results:

• The TA chain provides a flexible solution assuring data security, scalability, and privacy preservation.
• The system demonstrates high performance, auditing over 1000 transactions within 1ms with error stabilization below 250 μs.
• The TA chain ensures distributed, reliable, and provably audited traceability data.

Conclusions:

• The TA chain offers a secure and fair traceability system, overcoming the limitations of existing blockchain solutions.
• This novel approach enhances the trustworthiness and efficiency of agricultural data management.
• The TA chain represents a mission-critical advancement for national agricultural traceability infrastructure.