User abnormal transaction account detection method based on mahalanobis distance technology

A user account and abnormal transaction technology, applied in the field of big data processing, can solve the problem that abnormal transaction account detection is difficult to meet the actual use requirements, and achieve the effect of reducing omission, improving performance, and easy to capture

Pending Publication Date: 2022-07-29
安徽兆尹信息科技股份有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the defect that the abnormal transaction account detection in the prior art is difficult to meet the actual use needs, and to provide a user abnormal transaction account detection method based on Mahalanobis distance technology to solve the above problems

Method used

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  • User abnormal transaction account detection method based on mahalanobis distance technology
  • User abnormal transaction account detection method based on mahalanobis distance technology
  • User abnormal transaction account detection method based on mahalanobis distance technology

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Embodiment Construction

[0048] In order to have a further understanding and understanding of the structural features of the present invention and the effects achieved, the preferred embodiments and accompanying drawings are used in conjunction with detailed descriptions, and the descriptions are as follows:

[0049] like figure 2 As shown, it is a display diagram of the user's login frequency in the prior art, which describes the user's login frequency. The distribution of the official website login follows a power-law distribution, and the distribution of the third-party login has an abnormally heavy tail. image 3 Displays the total time spent accessing online banking for each account, representing the stickiness of customers. Figure 4 Displays the number of trading accounts owned by each user. Some of these customers have hundreds of accounts, and the behavior of these users is abnormal.

[0050] Based on this, the present invention uses the concept of an interaction graph in a social network ...

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Abstract

The invention relates to a user abnormal transaction account detection method based on a mahalanobis distance technology. Compared with the prior art, the defect that abnormal transaction account detection is difficult to meet actual use requirements is overcome. The method comprises the following steps: acquiring user account activity data; constructing an interactive network directed graph; an egonet model is initialized; acquiring data of a to-be-detected user account; feature extraction of the egonet model is carried out; and detecting the abnormal transaction account of the user. According to the method, the transaction activity of the user account under the transaction network model is depicted and analyzed to design the method for detecting the abnormal transaction account of the user based on the structured graphic data, so that the performance of a detection algorithm is improved, and the omission of the abnormal activity is reduced.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method for detecting abnormal user transaction accounts based on Mahalanobis distance technology. Background technique [0002] The detection of abnormal transaction accounts is the core issue of big data security. Traditional detection methods based on statistical analysis and operation sequences cannot comprehensively detect abnormal behaviors in transaction activities of user accounts. At the same time, the detection method based on statistical analysis and operation sequence analyzes independent user operations, and cannot determine the malicious activities of the attacker using multiple accounts at the same time; the AUC of the anomaly detection algorithm based on local density or small group is not high, and it will Missing some anomalous activity. [0003] However, the analysis based on structured graph data has strong representation ability and robustness a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/04
CPCG06Q40/04
Inventor 尹留志吴杰许鹏张健卢鹏李晓勇张飞飞
Owner 安徽兆尹信息科技股份有限公司
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