Private transaction generation and verification method and system based on block chain

Abstract

According to the private transaction generation and verification method and system based on the block chain provided by the invention, the random number shared by two transaction parties is utilized to generate the real collection address pair with randomness, the corresponding commitment component is generated for the random number, the commitment component is subjected to homomorphic addition to obtain the homomorphic addition commitment, and the privacy transaction is verified through the homomorphic addition commitment. Executing a Zerohash protocol and generating a digital currency, and injecting the digital currency into a transaction and a corresponding transaction commitment; the collection node compares the commitment added by the random numbers exchanged by the two transaction parties with the homomorphic addition commitment in the digital currency, and generates a corresponding commitment component after confirming that the commitment is consistent with the homomorphic addition commitment, and further verifies the validity of the transaction commitment; meanwhile, signature data with zk-SNARK certification can be provided for other member nodes on the block chain, so that a transaction data verification function is realized; according to the privacy transaction process, the non-linkability of block transaction data and the non-traceability of transaction identities can be completely realized, and meanwhile, the privacy transaction process is compatible with a traditional block data structure.

Description

technical field [0001] The invention relates to the technical field of blockchain, in particular to a method and system for generating and verifying privacy transactions based on blockchain. Background technique [0002] Blockchain data refers to block data recorded on blockchain nodes, including transactions, timestamps, block headers and other information in the block. The consensus mechanism is used between nodes to jointly maintain the consistency and integrity of data, so that the data recorded in the longest chain cannot be deleted by a single node, but this feature also brings other security threats to the blockchain ecosystem, especially More and more attention has been paid to the privacy of both parties to the transaction. [0003] Taking traditional digital currency as an example, the user of each transaction uses the transaction account or transaction address generated by its own public key to conduct anonymous transactions. Anonymization of transactions. Howe...

AI Technical Summary

Problems solved by technology

Among them, the blockchain privacy protection mechanism based on currency mixing is the most widely used and easy to implement, but it requires third-party credit institutions to provide currency mixing services or to gather and run a certain currency mixing protocol spontaneously through third-party communication tools, which is obviously different from regional The characteristics of blockchain decentralization are contrary to

The blockchain privacy protection mechanism based on zero-knowledge proof guarantees that no useful information will be leaked through the zero-knowledge feature. The most typical one is Zcash (zero currency) based on zk-SNARK, but only the transaction sender can provide proof for Zerocash transactions. And the real digital digital currency address is still stored in zk-SNARK as part of the proof, which creates a new security risk

The privacy protection mechanism based on the ring signature can overcome the shortcomings of currency mixing and zero-knowledge proof. It does not require a third-party organization to provide currency mixing services, nor does it need to generate public system parameters. It uses ring signatures to hide the real input of transactions in Among mixed addresses, transaction tracking is cut off, making it difficult for attackers to generate transaction graphs

At present, the most successful implementation of the ring signature-based blockchain privacy protection mechanism is Monero (Monero), which was launched in April 2014, based on the CryptoNote protocol, and has a significant algorithm in blockchain fuzzing differences, but there are still disadvantages

The biggest attack affecting the security of Monero is the zero-mix transaction, which leads to the cracking of the transaction identity

For this reason, strengthening unlinkability and untraceability is still a difficult problem to be solved in today's blockchain privacy protection technology

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