Privacy protection is facing a series of problems today, especially since the Internet era, such as limited privacy protection efforts and insufficient attention paid to privacy by people. Therefore, this article aimed to protect the personal privacy of the general public by constructing a personal privacy protection system. In order to build a privacy protection system, this article aimed to use data analysis technology, and more specifically, to assist in the construction by using the PP-k-means algorithm based on big data analysis. Finally, this article verified the feasibility of the proposed method by comparing it with machine learning and conventional privacy protection systems. Among them, the average PIA evaluation values of the two experiments were 87.93% for the system constructed in the first experiment and 82.94% for the system based on machine learning; in the second experiment, the system constructed in this article was 90.89%, while the conventional system was 79.04%. It can be seen that in both experiments, whether it is machine learning or conventional systems, the method proposed in this article was more effective in privacy protection. Therefore, this study found that big data analysis technology can effectively build privacy protection systems.