METHOD FOR MOBILE MALWARE CLASSIFICATION BASED FEATURE SELECTION RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD

摘要

A mobile malicious code classification method based on characteristic selection includes: extracting API characteristic information including a package name, a class name, a method name, and a description from a malicious application for which a category is determined; vectorizing a training dataset generated by using a package name, a class name, and a method name among the API characteristic information for deep learning; generating a classifier by learning the vectorized training dataset; classifying the target malicious application as a probability to which category it fits; and specifying a category of a target malicious application by using the classification result and outputting a classification important API. Accordingly, it is possible to quickly respond to a malicious action of a malicious application and prevent damage caused by the malicious action.