Telecommunication internet fraud identification method based on XGBoost algorithm

Abstract

The invention discloses a telecommunication Internet fraud identification method based on an XGBoost algorithm. The method comprises the following steps: carrying out encryption processing on originaltelecommunication Internet data; processing mobile phone internet surfing and position moving data, and extracting internet data internet surfing features; sampling the feature data set by adopting KMeans downsampling to form a final data set; initializing model parameters, performing verification by using the test set, calculating the accuracy, recall rate and F1 score of the model, and evaluating the model; obtaining an optimal XGBoost model, and serializing and storing the model through adoption of picks in a server; carrying out deserialization on the model by using picks, and constructing an API by using a Flask framework; and when the call record arrives, inputting the data into the XGBoost prediction model, and returning a result after model prediction. By adopting the XGBoost machine learning algorithm, telecommunication internet fraud can be accurately recognized, and the problems of misjudgment, missed judgment and other cases in the public security case judgment process areeffectively solved.

Description

technical field

[0001] The invention relates to the field of telecommunication and Internet, in particular to a method for identifying telecommunication and Internet fraud based on XGBoost algorithm. Background technique

[0002] Frequently updated telecommunication network technologies provide the society with a new life of "Internet +". People spend more time at home and rely heavily on telecommunication networks. Business transactions, capital turnover, job hunting and shopping, and work and classes through the Internet provide a convenient way of life. At the same time, the Internet will inevitably be used by criminals to carry out targeted fraud. Platform scams; taking advantage of the victim's fear and fear, pretending to be a member of a state agency and claiming that the victim is involved in the case, so that the victim can transfer funds to a safe account; and taking advantage of loopholes such as corporate or individual negligence and greed for convenience, preten...

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