1. data desensitization: desensitize sensitive data, replace or cover up real data with median, mean and random number, and protect the privacy of data sources.
2. Anonymization of data: Anonymize identifiers or sensitive information in data sets, and use technologies such as hashing and encryption to hide personal or organizational information.
3. Data Aggregation: Aggregating and summarizing data to reduce the details and accuracy of data, thus protecting the privacy of data sources. Summarize the order amount as the total order amount instead of displaying the specific amount of each order.