Smart devices bring convenience to people and also record a large number of user habits, location, access content, and other private information. In this study, considering the way of user behavior data collection, data processing and storage, we design a data acquisition system of user behavior data, and collect a lot of non-explicit identity data on the smart terminal equipment, including network traffic information and screen status information. Through analyzing and processing the data, we found that this non-explicit user identity information can effectively identify the user identity, and can figure out social relationships between the users. The experiment show that, based on the explicit non-identifying information to protect user privacy data has important significance and great value.