Behavior-based malicious code detecting apparatus and method using multiple feature vectors
Abstract:
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.
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