Fraud call detection method and device

Abstract

The invention discloses a fraud call detection method. The method comprises the following steps that all call voices are converted into texts, thereby forming a text set; each text in the text set isconverted into a key word weight vector; a plurality of clusters are formed by performing text clustering on all key word weight vectors, and whether each cluster is a fraud cluster or not is determined according to a fraud keyword set; calls corresponding to all the keyword weight vectors in the fraud clusters are determined as fraud calls; a text social network is constructed by utilizing all the calls and keywords, nodes corresponding to the fraud calls are marked as the fraud calls in the text social network, and other nodes marked as the fraud calls are determined through label propagation; and the calls corresponding to all the nodes marked as the fraud calls are determined as the fraud calls. The method can be applied to various fraud types, and meanwhile, user sensitive data does not need to be acquired, so that the operability is higher.

Description

technical field [0001] The present application relates to the technical fields of complex networks and mobile communications, and in particular to a method and device for detecting fraudulent calls. Background technique [0002] With the continuous development of the communication industry, while bringing more convenience, the rampant telecommunications and network fraud activities follow, and there are more and more means of telephone fraud, which makes people hard to guard against. [0003] Currently, fraudulent call detection methods mainly include call source detection, blacklist interception, etc., and these methods generally have the characteristics of poor real-time and poor flexibility. The update of fraudulent techniques and methods can easily lead to the failure of the original interception means. At present, the high incidence of fraudulent calls is mainly concentrated on mobile phone users. Most of the calling numbers are from overseas. Fraudsters use number cha...

AI Technical Summary

Problems solved by technology

The disadvantage of this patent is that it needs to collect sensitive information such as the address book, and it is mainly used in credit fraud, and its practicability for fraudulent calls is weak

[0012] It can be seen from the above that many of the existing methods for detecting fraudulent calls cannot adapt to various fraud types and means, and in the method of using complex networks to identify fraudulent calls, it is often necessary to obtain sensitive information of users, which can be Operability is not strong

Images