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Abnormal account detection method, device, equipment and storage medium

An account and abnormal technology, which is applied in the computer field, can solve the problems that affect the accuracy of detection results, the characteristics of abnormal account samples are not easy to learn, and the number of abnormal accounts and normal accounts is quite different, so as to achieve the effect of improving accuracy

Active Publication Date: 2021-09-07
TENCENT TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

[0002] Classification and detection based on behavior characteristics or account content. In the process of detecting abnormal accounts, more abnormal account samples need to be marked. At the same time, due to the large difference in the number of abnormal accounts and normal accounts, the characteristics of abnormal account samples are not easy to learn. , affecting the accuracy of the test results

Method used

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  • Abnormal account detection method, device, equipment and storage medium
  • Abnormal account detection method, device, equipment and storage medium
  • Abnormal account detection method, device, equipment and storage medium

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Embodiment Construction

[0027] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the scope of protection of this application.

[0028] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0029] In the following description, the term "first\second\third" is only used to distinguish similar objects, and does not represent a specific ordering of objects. Understandably, "first\second\third" Where permitted, the specific order or sequencing may be interchanged such that the embodiments of the application described herein can be practiced in sequences oth...

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Abstract

The embodiment of the present application provides a method, device, device, and storage medium for detecting abnormal accounts; the method includes: determining a sequence set that characterizes account characteristics in the account set; and according to the total number of accounts in the account set and each sequence in The number of sequences that appear in the account set, determine the support of each sequence; according to the support of each sequence, cluster the accounts in the account set to obtain a clustering result; determine the The proportion of the abnormal account sample in each category of the clustering results; the account to be detected in the category whose proportion of the abnormal account sample is greater than or equal to the proportion threshold is determined as an abnormal account; thus, by determining the abnormal account The distribution of samples in categories is used to identify abnormal accounts, which can reduce the impact of fewer abnormal account samples on the classification effect and improve the accuracy of detection.

Description

technical field [0001] The present application relates to the computer field, and in particular to an abnormal account detection method, device, equipment and storage medium. Background technique [0002] Classification and detection based on behavior characteristics or account content. In the process of detecting abnormal accounts, more abnormal account samples need to be marked. At the same time, due to the large difference in the number of abnormal accounts and normal accounts, the characteristics of abnormal account samples are not easy to learn. , affecting the accuracy of the detection results. Contents of the invention [0003] The embodiment of the present application provides an abnormal account detection method, device, equipment, and storage medium. The abnormal account identification is performed by determining the distribution of abnormal account samples in categories, which can reduce the impact of fewer abnormal account samples on the classification effect a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06G06K9/62
CPCH04L63/1425H04L9/50G06F18/23
Inventor 刘志煌
Owner TENCENT TECH (SHENZHEN) CO LTD
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