Malicious user identification method and device, computer storage medium and electronic equipment

Abstract

The invention relates to the technical field of computers, and provides a malicious user identification method, a malicious user identification device, a computer storage medium and electronic equipment, and the malicious user identification method comprises the steps: determining a product of a feature vector corresponding to shopping behavior data of a user and an unknown parameter as a credit score of the user; defining the difference between the probability that the credit score of the malicious user is less than the target threshold and the probability that the credit score of the non-malicious user is less than the target threshold as a test statistic, and determining the test statistic as a target function; based on the first assignment of the unknown parameter, optimizing the objective function by adopting an iterative algorithm to obtain an Nth assignment meeting the maximum objective function; when the Nth assignment and the (N-1) th assignment meet the preset relation, determining the product of the feature vector and the Nth assignment as the credit score of the user; and identifying whether the user is a malicious user according to the value of the credit score. According to the method, the recognition accuracy can be improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a malicious user identification method, a malicious user identification device, a computer storage medium and electronic equipment. Background technique [0002] With the rapid development of computer and Internet technology, relevant Internet information acquisition platforms are also developing rapidly, and more and more consumers browse, select and purchase commodities through the Internet. However, based on the virtual nature of the network, consumers cannot truly experience the material and quality of the products. Therefore, most online shopping buyers mainly refer to the evaluation and sales of products in different stores when selecting products, and these data may be suspected of fraudulent ordering. (Swiping orders refers to the false sales behavior in which the seller pays someone to pretend to be a customer in electronic shopping to increase the sales o...

AI Technical Summary

Problems solved by technology

However, the resulting test statistic cannot reach the optimal value, and the recognition effect is poor

Images