On the network, everyone will disclose some fragmented information more or less, actively or passively. When these information is mined by big data, there is a risk of privacy disclosure and information security problems. In the face of the surging 5G era, the public feels increasingly confused about their privacy protection, even a little confused. So how do you know your privacy and big data? How can we protect ourselves? 1. "Known and unknown" big data all know the age of big data, and everyone is likely to become the emperor who "wears new clothes" in Andersen's fairy tale. In front of big data, it knows what you say; It knows what you have done; What hobbies do you have, it knows; It knows what disease you have had; It knows where you live; Who are your relatives and friends? It also knows... In short, what you know, it almost knows, or it can know, at least it will know sooner or later! Even big data may know what you don't know. For example, it can find many of your subconscious habits: where do you like to stand when taking a group photo, whether you prefer to take the left foot or the right foot when crossing the threshold, what kind of people do you like to deal with, what are your personality characteristics, which friends have different views from you... Furthermore, big data is still possible to know what will happen in the future. For example, based on your information about "eating more and exercising less", it can infer that you may have "three high". When you and many people are purchasing cold medicine independently, big data knows that the flu is about to break out! In fact, big data has successfully predicted the results of the World Cup, stock fluctuations, price trends, user behavior, traffic conditions, etc. Of course, "you" here is not just "you", including but not limited to your family, your unit, your nationality, and even your country. As for the private information that you know, don't know or will only know in the future, what will you be, a hero or a bear? This is hard to predict. 2. Data mining is like "garbage disposal". What is big data? To put it vividly, the so-called big data is composed of many strange data that are piled up in disorder. For example, the words you say on the Internet, the WeChat you send and the email you send and receive are all parts of big data. Many information collected without knowing, such as the video obtained by the road camera, the road map left by the mobile positioning system, the driving navigation signal and other passive information, are also part of the big data. In addition, the information about temperature, humidity, speed and other things automatically collected by various sensor devices is still a part of big data. In short, everyone, every communication and control device, whether it is software or hardware, is actually the source of big data. Big data uses a technology called "big data mining", and uses methods such as neural networks, genetic algorithms, decision trees, rough sets, covering positive cases and excluding negative cases, statistical analysis, and fuzzy sets to mine information. The process of big data mining can be divided into data collection, data integration, data specification and data clearing