Two-factor authentication for intellectual property transactions based on improved zero-knowledge proof.

Area of Science:

• Computer Science
• Information Security
• Blockchain Technology

Background:

• Intellectual property (IP) transactions face challenges with false property rights and identity authentication.
• Existing authentication methods may lack robustness and security in complex IP environments.

Purpose of the Study:

• To propose a novel identity authentication model for intellectual property transactions utilizing an alliance chain.
• To enhance the security and reliability of IP transactions through robust identity verification.

Main Methods:

• Developed a two-factor identity authentication model, defining roles, functions, and processes.
• Implemented a dual authentication mechanism combining ID password with physiological and property rights features.
• Designed an identity identification method using fingerprint biometrics and IP features, employing a Poseidon hash-based compression strategy for efficient zero-knowledge proof.

Main Results:

• The proposed model effectively addresses issues of false property rights and authentication difficulties in IP transactions.
• Security and performance analyses demonstrate the model's strong security and reliability.
• Comparative validation confirms the superiority of the proposed authentication model over existing solutions.

Conclusions:

• The alliance chain-based identity authentication model offers a secure and reliable solution for intellectual property transactions.
• The integration of biometric data and advanced cryptographic techniques enhances the integrity of property rights.
• This model provides a foundation for more trustworthy and efficient IP trading ecosystems.