Abnormal number identification method and equipment

Abstract

The embodiment of the invention provides an abnormal number identification method and equipment. The method comprises the following steps: determining a value of each label dimension corresponding toeach to-be-identified number through the label dimension; according to the value of each label dimension corresponding to each to-be-identified number, obtaining first, second and third factor variables, further, determining an estimated total value of each label dimension corresponding to each to-be-identified number; and depending on the estimated total value, determining whether each to-be-identified number is an abnormal number or not. The label dimension comprises a machine changing parameter, a position parameter, a card type parameter, a communication behavior parameter, a certificate parameter, a user parameter and the like. According to the embodiment of the invention, the factor variables are constructed from the label dimensions such as machine changing, positions, card types, communication behaviors, certificates and users, so that the abnormal numbers are identified, the label labeling of the abnormal types of the numbers is finally realized, and the problem of relativelylow abnormal number identification accuracy caused by the fact that the existing extracted features cannot truly reflect the characteristics of the user numbers is solved.

Description

technical field [0001] The embodiments of the present application relate to the field of communication technologies, and in particular, to a method and device for identifying abnormal numbers. Background technique [0002] With the vigorous development of the mobile Internet industry, the core resources of the Internet have also shifted to individuals, and every Internet user has become an object of competition for enterprises. In order to increase the number of installations and stabilize the number of users, enterprises will launch some preferential policies from time to time, while some users will Through the malicious registration and false account authentication of a large number of mobile phone numbers in various Internet business scenarios, and various illegal activities such as swiping orders, cashing out, and fleecing wool, it specially chooses coupon promotions and other activities on Internet channels to achieve the results at a very low cost or even zero. The cos...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an abnormal number identification method and equipment to overcome the problem that the existing extracted features cannot truly reflect the characteristics of the user number, resulting in a low accuracy rate of abnormal number identification

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