Method and system for monitoring online service

Abstract

An embodiment of the invention discloses a method and a system for monitoring an online service, wherein the method and the system relate to the technical field of big data. Detecting efficiency can be improved and network transaction risk is reduced. The method comprises the steps of searching a data source according to identification information of a target user, and reading service informationwhich is related with the identification information of the target user from the data source; searching a user in association with the target user through a characteristic template, wherein the characteristic template corresponds with a service system with the target user; and performing alarming to the user in association with the target user. The method and the system are suitable for automatically detecting an account number which may be used for a network fraud case in real time.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a monitoring method and system for online business. Background technique [0002] With the rapid development of Internet technology, businesses such as e-commerce, Internet financial services, and online transactions / payments have emerged as the times require, and are showing a trend of rapid growth. But at the same time of rapid development, Internet-based fraud incidents also occur frequently, causing huge economic losses to consumers and enterprises, and even further damaging the social reputation of individuals and companies. For example: according to relevant statistics, as of 2015, Internet finance 50%-70% of China's bad debts come from online fraud incidents. [0003] Moreover, due to the characteristics of low cost and huge benefits of online fraud, the industrial chain of online fraud has been formed, and a large number of well-organized fraud gangs with clear divisio...

AI Technical Summary

Problems solved by technology

However, the currently used analysis methods and tools mainly focus on a single fraud case, and it is difficult to complete the analysis of massive cases in a timely and effective manner, and it is difficult to establish an accurate and efficient early warning and detection system

Especially for the current use of online payment tools to conduct group fraud, especially the more complex fraud that uses multiple accounts, cross-business systems, and multiple sets of disguised (user) information, the current detection methods are difficult to identify suspects in a timely and accurate manner target, resulting in the current detection efficiency is low, and the risk of online transactions has been high

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