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SYSTEM FOR ANALYZING DEGREE OF RISK FOR MALICIOUS CODE DISTRIBUTION SITE BY USING MACHINE LEARNING

机译:机器学习分析恶意代码分发站点的风险程度的系统

摘要

The present invention detects a malicious code distribution site and analyzes whether malicious code distribution is actually activated in a website discovered to be the distribution site, so as to calculate a degree of risk, and uses, as variables, repeatability, up-to-dateness, malicious code activation/inactivation, and the like of the malicious code distribution site, so as to continuously perform learning on the basis of the degree of risk, thereby enabling analysis of the degree of risk to be accurate.
机译:本发明检测恶意代码分发站点,并分析在被发现为分发站点的网站中是否实际上激活了恶意代码分发,以便计算风险程度,并将可变性,可重复性,最新性用作变量。 ,恶意代码分发站点的恶意代码激活/停用等,以便基于风险程度连续进行学习,从而使风险程度的分析更加准确。

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