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Fraud account detection method and device and storage medium thereof

A detection method and account technology, applied in computing models, marketing, instruments, etc., can solve the problems of costly manpower and material resources, low efficiency and accuracy of fraud detection, and improve the accuracy, generalization ability, and operation complexity. degree of effect

Active Publication Date: 2019-04-02
BEIJING KNOWNSEC INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the embodiments of the present invention is to provide a fraudulent account detection method, device and storage medium thereof, to solve the problem that both the collection of account attributes and the detection of account behavior traces require a lot of manpower and material resources in the prior art. Fraud detection based only on the data of a single account has the problem of low efficiency and accuracy of fraud detection

Method used

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  • Fraud account detection method and device and storage medium thereof
  • Fraud account detection method and device and storage medium thereof
  • Fraud account detection method and device and storage medium thereof

Examples

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no. 1 example

[0032]The applicant’s research found that in order to forge their good reputation, such as good reviews and sales, to obtain more traffic portals and activity support on the platform, merchants will use various channels to swipe orders, such as looking for friends to swipe, Find a team to swipe orders, find professional swipe customers to swipe, virtual machine self-swipe and other channels. This kind of behavior not only interferes with normal production and operation activities and misleads consumers, but also causes malicious competition to other merchants and damages the interests of competitors. On the other hand, with the rise of Internet e-commerce platforms and financial platforms, in order to quickly acquire more new customers, these platforms have issued a large number of coupons and rebates to attract customers. Taking advantage of this opportunity, the development continues to be organized, specialized, and industrialized. It has brought huge economic losses to th...

no. 2 example

[0071] In order to cooperate with the fraudulent account detection method provided in the first embodiment of the present invention, the second embodiment of the present invention further provides a fraudulent account detection device 100 .

[0072] Please refer to Figure 4 , Figure 4 It is a schematic diagram of modules of a fraudulent account detection device 100 provided in the second embodiment of the present invention.

[0073] The fraudulent account detection device 100 includes an initial confidence determination module 110 , a network account relationship diagram determination module 120 and a fraud determination module 130 .

[0074] The initial confidence determination module 110 is used to determine the initial confidence that the account is a fraudulent account based on the associated device characteristics and account behavior characteristics of each account. Behavioral characteristics.

[0075] The network account relationship diagram determining module 120 ...

no. 3 example

[0086] Please refer to Figure 5 , Figure 5 The third embodiment of the present invention provides a structural block diagram of an electronic device 200 applicable to the embodiments of the present application. The electronic device 200 provided in this embodiment may include a fraud account detection apparatus 100 , a memory 201 , a storage controller 202 , a processor 203 , a peripheral interface 204 , an input and output unit 205 , an audio unit 206 , and a display unit 207 .

[0087] The memory 201, storage controller 202, processor 203, peripheral interface 204, input and output unit 205, audio unit 206, and display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The fraudulent account detection device 100 includes at least one software function module that can be stored i...

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Abstract

The invention provides a fraud account detection method and device and a storage medium, and relates to the technical field of anti-fraud detection. The fraudulent account detection method comprises the steps of determining an initial confidence coefficient of an account as a fraudulent account based on an associated equipment feature and an account behavior feature of each account; determining anetwork account relation graph based on the association relationship between each account and other accounts, wherein the network account relation graph comprises the transition probability that eachaccount and other accounts are fraudulent accounts under different association relationships; and obtaining a stability confidence coefficient of each account in the network account relation graph asa fraudulent account based on a confidence coefficient propagation algorithm, and determining whether each account is a fraudulent account based on the stability confidence coefficient of the account.According to the method, whether the account is a fraud account or not is judged by combining the inherent characteristics of the account, the login behavior characteristics and the confidence coefficient propagation algorithm, so that the efficiency, the accuracy and the generalization capability of fraud prediction are improved.

Description

technical field [0001] The present invention relates to the technical field of anti-fraud detection, in particular to a fraud account detection method, device and storage medium thereof. Background technique [0002] Traditional anti-fraud detection systems are mainly based on supervised machine learning algorithms or unsupervised outlier detection methods, and use the account portrait features or behavior track features of online accounts to determine whether an online account is a fraudulent account. [0003] The fraudulent account detection method based on account portraits can detect fraudulent accounts by making full use of the inherent attributes of accounts and network behavior trajectories, but the collection of account attributes and the detection of account behavior trajectories require a lot of manpower and material resources, which affects the final model. The improvement of the effect and the improvement of the training efficiency have brought a lot of challenge...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06K9/62G06Q30/00G06Q30/02
CPCG06Q30/018G06Q30/0225G06F18/2415
Inventor 曾山松岳永鹏
Owner BEIJING KNOWNSEC INFORMATION TECH
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