Information generation method for security interception big data analysis, and artificial intelligence system

Abstract

The embodiment of the invention provides an information generation method for security interception big data analysis, and an artificial intelligence system. The method comprises the following steps: obtaining malicious resource field distribution which corresponds to security interception event data and is used for expressing malicious resource fields of the security interception event data according to a malicious resource decision model, and reading at least two security vulnerability field clusters, wherein the security vulnerability field clusters are used for expressing malicious resource fields of security vulnerability associated data under corresponding security vulnerabilities, and the security vulnerabilities of the security vulnerability associated data are obtained by mining based on a security event knowledge graph of the security vulnerability associated data; and finally, according to the malicious resource field distribution and each security vulnerability field cluster, obtaining a security vulnerability collection parameter between the security interception event data used for determining the security vulnerability probability graph of the security interception event data and the security vulnerability associated data corresponding to each security vulnerability. Therefore, the reliability and pertinence of security vulnerability analysis can be improved in the security vulnerability analysis process.

Description

technical field [0001] The present application relates to the technical field of information security analysis, and specifically relates to an information generation method and an artificial intelligence system for security interception big data analysis. Background technique [0002] With the rapid development of Internet information technology, there are more and more developments for cloud services. Cloud services can provide users with massive mobile Internet information services, such as smart medical services, e-commerce services, etc. However, in the process of providing these mobile Internet information services, a large amount of data information will be generated, how to effectively protect the security of these data information is a problem worth thinking about. At present, major Internet service providers usually configure related interception services to intercept suspicious attack sources. Nevertheless, many security incidents still occur frequently at present...

AI Technical Summary

Problems solved by technology

Nevertheless, many current security incidents still occur frequently. Once important or sensitive data is lost, the loss and impact must be very serious.

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