Data detection method and device and storage medium

Abstract

The embodiment of the invention discloses a data detection method, which is applied to the field of mobile communication. The method specifically comprises the steps that a terminal obtains a character string set, and the character string set comprises t N-bit equal-length character strings; the terminal obtains first i-bit characters of the equal-length character string to obtain t target character strings; the terminal respectively counts the number of the same character strings in the target character strings; the terminal calculates concentration degree data according to the number of pieces corresponding to the same character string; the terminal sends the concentration degree data to a server, so that the server judges whether the character string set is abnormal or not according tothe concentration degree data. According to the embodiment of the invention, the concentration degree of the first several characters of each character string in the equal-length character string setcan be utilized to judge whether the equal-length character string set has an abnormal state or not.

Description

technical field [0001] The embodiments of the present application relate to the field of mobile communications, and in particular to a data detection method, device, and storage medium. Background technique [0002] In the information society, string sequences are often the most commonly used identification methods. For example, the mobile phone number is the identification of the mobile terminal, the bank card number is the identification of the account, the license plate number is the identification of the vehicle, etc. A string corresponds to a user. Corresponds to all information of the user. Usually, in a risk control business scenario, it is necessary to analyze a large amount of user's long string information (address book, call records, bank card, credit card number, etc.) to determine whether there is any abnormality. [0003] Usually, the method of supervision and comparison is used to judge the abnormality. For example, when judging whether there is an abnormalit...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, due to the need to compare character strings of equal length one by one, and to judge the abnormal state, it is generally necessary to use external tags, such as harassing phone marks, empty number marks, etc. to judge, when the external tags cannot be obtained, It is impossible to determine the abnormal state, so the analysis method is limited and the scope of application is small

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