In response to the increasing demand for prevention and control of communication fraud cases, an anti-fraud model based on operator big data is proposed to identify fraudulent users. This model uses operator big data to analyze user information and extract typical characteristics of telecom fraud and builds an anti-fraud model based on machine learning algorithms. In addition, the performance of the model is evaluated based on the 360 network platform data, showing that the model can effectively identify fraudulent users with high accuracy.