Fraud phone recognition method, system and equipment based on multi-source features
A technology of fraudulent calls and identification methods, applied in the information field, can solve problems such as no mention, inconvenience in daily life, and affecting user experience
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[0052] The method for identifying fraudulent calls based on multi-source features provided by the present invention includes: the user selects a normal number, a promotional number and a fraudulent number, constructs a more practical user classification, and based on the second call of the selected user for a period of time Signaling, portrait data, location data, and Internet access data construct multi-source feature indicators, including basic features of user call data, user basic call features, portrait features, user location and Internet access features, and a graph network model based on similar graph structures ——Struct2Vec extracts the structural features of the user's second-degree network, identifies fraudulent pattern structures such as multi-point and one-line, and converts the user's second-degree call data into call time series data, extracts time-series-based feature combinations, and builds multi-source features. Use the improved smote oversampling method Bord...
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