Zero-knowledge proof learning for blockchain endorsement

Zero-knowledge proof learning for blockchain endorsement

Test

What are the potential security issues in the traditional blockchain endorsement process?

How does zero-knowledge proof solve the privacy issues in the traditional blockchain endorsement process?

In the present invention, what information does the client need when generating a zero-knowledge proof?

What role does the regulator play in the zero-knowledge proof endorsement system?

How does the submitting node verify the validity of the zero-knowledge proof?

In the present invention, how is the encrypted endorsement strategy obtained?

How does the zero-knowledge proof ensure the verifiability of the endorsement while hiding the endorser information?

What are the advantages of using zero-knowledge proof endorsement compared to the traditional endorsement process?

What role does zkSNARK play in the zero-knowledge proof endorsement system?

Who holds the public key and private key of the regulator mentioned in the present invention?

Answer

In the traditional blockchain endorsement process, the endorser node needs to disclose identity information, which can cause attackers to identify active endorsers or endorsers of specific transaction types, thereby launching targeted attacks. In addition, mining transaction history will also leak sensitive information such as the client's preference for endorsers and trust level.

Zero-knowledge proofs allow endorser nodes to prove that a transaction has been verified without revealing their identity and endorsement policy, thereby protecting privacy during the endorsement process.

The client needs to extract transaction data (such as read/write sets, transaction ID, chaincode ID, etc.), encrypted endorser response, encrypted endorsement policy, and the regulator public key used for encryption to generate zero-knowledge proofs.

The regulator has a public key-private key pair, the public key is used to encrypt endorsements and endorsement policies, and the private key is used for decryption. The regulator has the right to audit any transaction on the blockchain.

The submitting node verifies the zero-knowledge proof data object by running the verification program provided by the trusted committee. The verification program will obtain the encrypted endorsement policy from the chaincode data, and input the data provided by the client into the verification program, and finally output true or false to determine whether the proof is valid.

The client node can obtain the encrypted endorsement policy followed by the endorser node based on the chaincode information included in the endorser response.

Zero-knowledge proof uses mathematical methods to prove that the prover has the knowledge required to generate the proof, that is, the prover knows the endorser response and endorsement policy, and the endorsement response satisfies the endorsement policy, thereby ensuring verifiability while hiding information.

The advantage of using zero-knowledge proof endorsement is that it protects the identity and endorsement policy of the endorser, prevents targeted attacks, and retains the ability to publicly verify the validity of the endorsement.

zkSNARK is a zero-knowledge proof protocol, which is used in the present invention to generate and verify zero-knowledge proof data objects to achieve the purpose of hiding information and verifiability.

The public key of the regulator is known to all participants on the blockchain and is used to encrypt endorsements and endorsement policies. The key is only known to the regulator and is used for decryption.

Paper title

Discuss in detail how zero-knowledge proof technology is applied to the blockchain endorsement process, and analyze its advantages and disadvantages.

Compare the traditional blockchain endorsement process and the endorsement process based on zero-knowledge proof, and analyze it from the aspects of security and efficiency.

Explore the applicability of zero-knowledge proof endorsement mechanism in different types of blockchain networks (such as public chains and consortium chains), and analyze its implementation challenges.

Design a specific case to demonstrate how to use zero-knowledge proof to achieve privacy-preserving blockchain transaction endorsement and analyze its performance.

Explore other application scenarios of zero-knowledge proof technology in the blockchain field, such as identity authentication, data sharing, etc., and analyze its development prospects.

Glossary

Term Definition Blockchain A distributed database that uses cryptographic technology to ensure data security and immutability. Endorsement The verification and confirmation process performed by a specific node before a blockchain transaction is added to the blockchain. Zero-knowledge proof A cryptographic protocol that allows one party (the prover) to prove to another party (the verifier) ​​that a certain assertion is correct without revealing any additional information about the assertion. zkSNARK A zero-knowledge proof protocol that is simple and non-interactive. Endorser node A node responsible for verifying and confirming blockchain transactions. Client node A node that initiates blockchain transactions. Sorting node A node responsible for sorting blockchain transactions and packaging them into blocks. Submitting node A node responsible for verifying blockchain transactions and adding them to the blockchain. Endorsement policy defines the rules for which nodes need to endorse specific transactions. Regulators have the decryption key and have the right to audit any party to a transaction on the blockchain. Read/Write Sets A collection of data that is read and written by a blockchain transaction.