Research On Trusted Data Transaction Model Based On Blockchai

With the rapid development of artificial intelligence,big data,the Internet of Things and other information technologies,mankind has entered the era of big data,a large amount of data is generated every day,and the public is paying more and more attention to the value of data,thus there is also a growing demand for data transactions.In the traditional data trading model,both sides of the transaction need to use a centralized data trading platform to conduct the transaction,and the platform has the ability to privately retain and resell the data,which may lead to data leakage of the data owner;Also,since data purchasers cannot verify the quality of the data before purchasing the complete dataset,it is easy to waste money to purchase data that does not meet the requirements.In recent years,relevant scholars have proposed some blockchain-based data trading schemes using the decentralized characteristics of blockchain,although these schemes have solved the problems in the traditional data trading model to a certain extent,the existing schemes still have problems such as high risk of data leakage and unguaranteed fairness of transactions.To solve the above problems,this paper first combines blockchain technology with the idea of double payment hash chains to improve the Pay Word micropayment protocol,and proposes a blockchain-based trusted micropayment protocol PWBC(Pay Word with Blockchain).This protocol guarantees the security of the agreement by controlling the process and managing the funds through smart contracts without the existence of a centralized third-party broker;at the same time,the fairness of the agreement is guaranteed through the double hash chains design and arbitration mechanism.Subsequently,a trusted data transaction model TDTM(Trusted Data Transaction Model)is proposed based on the PWBC micropayment protocol.This model uses smart contracts to remove the centralized data trading platform from the traditional data trading model,enabling both sides of the transaction to trade directly using smart contracts.The model design ensures that only the purchaser of the data in the transaction has access to the data in plain text,avoiding the problem of data leakage caused by third-party entities retaining or reselling the data privately or being attacked,and ensuring the security of the transaction;at the same time,the model uses micropayment technology to split the data set to be traded into several smaller value data fragments,then use a random order of transactions for both parties to make multiple small transactions,data purchaser can verify the data quality in the first few transactions,and can timely find out the unqualified data quality and terminate the transaction to avoid losses,ensuring the fairness of the transaction.The theoretical analysis of the model shows that the model can ensure the security and fairness of the transaction,and thus the trustworthiness of the transaction.Also,the results of the experiments conducted on the model further verify the credibility and correctness of the model.