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BEHAVIOR-BASED MALICIOUS CODE DETECTING APPARATUS AND METHOD USING MULTIPLE FEATURE VECTORS

机译:基于行为的恶意代码检测装置和使用多个特征向量的方法

摘要

A behavior-based malicious code detecting apparatus and method using multiple feature vectors is disclosed. A malicious code learning method may include collecting characteristic factor information when a training target process comprising a malicious code is executed, generating a feature vector for malicious code verification based on the collected characteristic factor information, learning the generated feature vector through a plurality of machine learning algorithms to generate a model of representing the malicious code and a model of representing a normal file, and storing the model of representing the malicious code and the model of representing the normal file generated through the learning.
机译:公开了使用多个特征向量的基于行为的恶意代码检测设备和方法。恶意代码学习方法可以包括:当执行包括恶意代码的训练目标过程时,收集特征因子信息;基于收集的特征因子信息生成用于恶意代码验证的特征向量;通过多次机器学习来学习生成的特征向量。生成代表恶意代码的模型和代表正常文件的模型的算法,并存储通过学习生成的代表恶意代码的模型和代表正常文件的模型。

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