Malicious order identification method and device

Abstract

The invention relates to a malicious order identification method and device and belongs to the electronic technology application field. The method comprises the steps of: according a preset first word segmentation algorithm, carrying out word segmentation on an address to be identified, and obtaining words to be identified in the address to be identified; counting the number of words belonging to a malicious word database in the words to be identified, wherein the malicious word database is established in advance, and at least one malicious word used for identifying malicious addresses is recorded in the malicious word database; according to the number of words belonging to the malicious word database, judging whether the address to be identified is a malicious address; and when the address to be identified is the malicious address, determining that an order corresponding to the address to be identified is a malicious order. By adopting the malicious order identification method and device, the accuracy of malicious order identification is improved, and the problem in the prior art that the accuracy is relatively low when the malicious order is identified by means of similarity. The malicious order identification method and device are used for identifying malicious orders.

Description

technical field [0001] The present disclosure relates to the application field of electronic technology, in particular to a malicious order identification method and device. Background technique [0002] With the rapid development of e-commerce technology, various marketing methods emerge in an endless stream. At present, a marketing method of panic buying and big promotion is popular, for example: pricing commodities at a lower price and opening them for purchase at a specified time point. In this case, some malicious users may appear to seize resources in large quantities by violating the rules of the activity, and then sell them at high prices. The actions of these malicious users have seriously affected the interests of other users with real purchase intentions. [0003] In related technologies, when a malicious user makes a large amount of purchases on the e-commerce platform, a large amount of repeated information may appear in the malicious user's order information s...

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Problems solved by technology

The actions of these malicious users have seriously affected the interests of other users with genuine purchase intentions

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