APPARATUS AND METHOD FOR IDENTIFYING ABNORMAL PROCESSOR AND COMPUTER-READABLE STORAGE MEDIUM

This application relates to an apparatus for identifying an abnormal processor. In one aspect, the apparatus includes a memory information collection part that collects memory region information and dynamic library information of a memory. The apparatus may also include a first identification part that identifies an abnormal processor by using a first machine learning model pre-trained based on the memory region information. The apparatus may further include a second identification part that identifies an abnormal processor by using a second machine learning model pre-trained based on the dynamic library information. The apparatus may further include a determination part that determines a final abnormal processor based on either the abnormal processor identified using the first machine learning model or the abnormal processor identified using the second machine learning model.