Information monitoring reminding method based on big data, and artificial intelligence cloud service system

Abstract

Embodiments of the invention provide an information monitoring reminding method based on big data, and an artificial intelligence cloud service system. The method comprises the following steps that intention prediction is conducted on each first sensitive attack variable, so the updating of a presumed sensitive attack intention is conducted for the first time, and a credible sensitive attack intention is obtained; and a third example attack variable which is more matched with an actual attack scene can be obtained by combining a plurality of attack variables, intention prediction is performed on the third example attack variable according to the credible sensitive attack intention, so a target sensitive attack intention is obtained after secondary updating is performed on the credible sensitive attack intention. According to the invention, the target sensitive attack intention can accurately represent the actual attack intention of target risk event data, so the risk attack troubleshooting precision of the target risk event data is improved, the accuracy of information monitoring reminding of the Internet information service system is improved, the information monitoring reminding information can reflect the actual attack intention, and subsequent safety protection and repairing are facilitated.

Description

technical field [0001] The present application relates to the technical field of information monitoring and reminding, in particular, to a big data-based information monitoring and reminding method and an artificial intelligence cloud service system. Background technique [0002] With the development of cloud computing technology, a large number of online applications emerge as the times require. The security protection performance of these online applications is very important. For example, sensitive intent identification for some key sensitive attack behaviors is extremely important. The security management application in related technologies mainly focuses on collecting various risk behavior monitoring logs and analyzing them in combination with a fixed security rule model. The analysis standard of this solution is relatively single, and there are often many misjudgments, which lead to follow-up information monitoring reminders. The accuracy is not high. Therefore, how t...

AI Technical Summary

Problems solved by technology

The security management application in related technologies mainly focuses on collecting various risk behavior monitoring logs and analyzing them in combination with a fixed security rule model. The analysis standard of this solution is relatively single, and there are often many misjudgments, which lead to follow-up information monitoring reminders. The accuracy is not high

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