Transaction Mechanism of Measurement and data Privacy

Metering and data privacy, as a transaction mechanism, means that when consumers purchase goods or receive services, they judge whether they need to provide corresponding information based on the information they obtain. This article aims to explore how to regulate marketing through the analysis of measurement and data. First, this paper introduced theories and model types such as statistical methods and model classification; secondly, taking security algorithms as an example, the concepts, characteristics and application status of quantization and privacy were explained. After that, this paper also designed a transaction mechanism model for data privacy, and tested the performance of all aspects of the mechanism model. The test resulted show that the stability of the model was relatively strong, and could be stabilized between 86% and 91%. In the research of measurement and data privacy transaction mechanisms, the application of privacy protection technologies such as differential privacy, homomorphic encryption, and secure multi-party computing algorithms can effectively protect users’ personal privacy information. In addition, research is also conducted on how to maximize the use of data for quantitative analysis, including data quality assessment, data cleaning, and repair methods, while protecting privacy, in order to improve the availability and value of data. At the same time, it is necessary to balance the relationship between privacy protection and data utility, and adjust the balance between the degree of privacy protection and data availability to meet the needs of different application scenarios. In addition, it is necessary to design appropriate data trading mechanisms and establish incentive mechanisms to encourage data providers to share data and ensure fairness and efficiency of transactions. In the research process, it is also necessary to consider relevant laws, regulations, and policy formulation, and explore their impact and guidance on measurement and data privacy trading mechanisms.