针对日益增长的通讯诈骗案件防控需求，提出基于运营商大数据的反欺诈模型，用于识别欺诈用户。该模型利 用运营商大数据对用户信息进行分析，提取电信欺诈行为的典型特征，并基于机器学习算法建立反欺诈模型。此外，根据360 网络平台数据对模型性能进行评估，结果证明，该模型能有效识别欺诈用户，精度较高。

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.