Method and system for recognizing computer stealing accounts

Abstract

The invention relates to the user safety technology and discloses a method and system for recognizing computer stealing accounts. According to the method and system, crime feature data can be extracted from suspicious transaction data and then after-crime feature data is extracted to carry out score calculation to determine whether the suspicious transaction is an account stealing case. Feature changes before and after a crime are taken full consideration of to stress features which cannot be avoided by stealers who simulate the behaviors of the user whose accounts are stolen, and therefore, the recognition accuracy and coverage rate are increased.

Description

technical field [0001] The invention relates to user safety technology, in particular to a computer stolen account identification method and system. Background technique [0002] In the transaction through the third-party payment platform, the buyer purchases the goods, uses the account provided by the third-party platform to pay, and the third-party payment platform notifies the seller to deliver the goods; after the buyer inspects the item, he can notify the seller to pay, and the third-party platform Then transfer the money to the seller's account. In this Internet transaction, there are two types of misappropriation: card theft and account theft. [0003] From stealing the balance to buy online game virtual items and then reselling them, to transferring the balance to their own bank cards, the criminal behavior of the thief is varied. Moreover, acquiring information, forging ID cards, applying for bank cards and mobile phone cards with false certificates, and stealing ...

AI Technical Summary

Problems solved by technology

This brand-new modus operandi has brought great difficulty and challenge to the qualitative identification of misappropriation cases

[0005] However, most of the existing qualitative methods for account theft cases are based on the characteristics of abnormal operation behavior when the case occurs, including whether the environment is reliable and whether the transaction behavior is abnormal.

However, these characteristics collected only considering the information characteristics of the criminal when committing the crime are often unable to fully describe the scene information of the entire crime, and thus cannot comprehensively construct attribute characteristics, resulting in poor qualitative identification of the case, and even Lots of misjudgments and omissions

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