Telecommunication network fraud early warning system and method based on user portrait

Telecommunication network fraud early warning system and method based on user portrait

The invention discloses a telecommunication network fraud early warning system and method based on a user portrait. The system comprises a first database, a first data input module, a first data processing module, a data early warning analysis module and a first data output module. The method compri...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: LIANG GUANGJUN, WANG CHENGRUI, ZHANG XUAN, DENG WEN, YU CHENFEI, YAO KEFAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a telecommunication network fraud early warning system and method based on a user portrait. The system comprises a first database, a first data input module, a first data processing module, a data early warning analysis module and a first data output module. The method comprises the following steps: inputting user data of a to-be-detected user into a first data processing module through a first data input module; performing data processing on the input to-be-detected user data through a first data processing module, and inputting the processed to-be-detected user data into a data early warning analysis module; performing early warning analysis based on the processed to-be-detected user data through a data early warning analysis module to obtain a to-be-detected user early warning analysis result; and outputting an early warning analysis result of the to-be-detected user through a first data output module, wherein the early warning analysis result comprises the fraud probability of the