Judgment method and device of malicious order address

Abstract

The invention provides a judgment method and device of a malicious order address. By means of the judgment method and device of the malicious order address, a malicious order user can be quickly judged and found, particularly, the malicious order user who frequently scrambles for an order can be quickly judged and found and intercepted, the interests of a common user are ensured, the address query time is short, and the query efficiency is high. The judgment method of the malicious order address includes the steps that order addresses are received, and the addresses with the most identical parts as the order addresses are found from an address base and used as similar addresses according to a scheduled sequence; the similarity and query time difference of the similar addresses and the order addresses are calculated, and the accumulated query times of the similar addresses are acquired, wherein the query time difference is the minimum of the differences between the current query time of the order addresses and the query time of the similar addresses; based on the similarity, the query time difference and the accumulated query times, the scores of the order addresses are calculated; the order address of which the score is greater than a preset score threshold is judged as the malicious order address.

Description

technical field [0001] The invention relates to the technical field of computers and software thereof, in particular to a method and device for judging addresses of malicious orders. Background technique [0002] With the vigorous development of the Internet, the scale of e-commerce has grown exponentially. Especially in recent years, the continuous improvement of the e-commerce system and the continuous development of user habits have resulted in more and more people choosing to shop online. In order to attract more users to shop on their own platform, e-commerce marketing plays an important role. As an important marketing method, panic buying can effectively attract a large number of popularity for shopping platforms, help attract new users, increase visits and clicks, and improve the popularity and user activity of e-commerce websites. [0003] Snap-buying products usually have the characteristics of strong benefits and obvious scarcity, so while attracting a large numb...

AI Technical Summary

Problems solved by technology

In this way, the method of model serial filtering for the dimensional information considered now cannot well realize the interception of the scalper's snap-up order request

[0007] To sum up, the existing methods cannot well determine malicious orders among numerous order information, so they cannot effectively filter and intercept malicious orders

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