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Method and Apparatus for Classifying Vulnerability Information Based on Machine Learning

机译:基于机器学习的漏洞信息分类方法及装置

摘要

The present embodiments extract a plurality of explanatory information from the vulnerability information (CVE) including the vulnerability outline information and the pre-classified vulnerability type (CWE) information, and extract a plurality of explanatory information and the pre- A vulnerability information classification method and apparatus capable of accurately classifying a vulnerability type to all the vulnerability information by generating one or more vulnerability information classification models and generating vulnerability type information using one or more vulnerability information classification models do.
机译:本实施例从包括漏洞概述信息和预分类漏洞类型(CWE)信息的漏洞信息(CVE)中提取多个解释信息,并提取多个解释信息和预A漏洞信息分类方法和通过生成一个或多个漏洞信息分类模型并使用一个或多个漏洞信息分类模型生成漏洞类型信息,能够将漏洞类型准确地分类为所有漏洞信息的设备。

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