公开(公告)号：US20230130651A1

公开(公告)日：2023-04-27

申请号：US17511305

申请日：2021-10-26

Applicant: Avast Software s.r.o.

Inventor： Branislav Bosanský ,  Viliam Lisý ,  Michal Najman ,  Lada Hospodková

IPC: G06F21/56 ,  G06N3/04

Abstract: A malware classification system includes a first machine-learning model trained based on malware from a first plurality of prior time periods to predict malware in a first subsequent time period subsequent to the first plurality of prior time periods, and a second machine-learning model is trained based on malware from a second plurality of prior time periods offset by at least some time from the plurality of time periods used to train the first machine-learning model to predict malware in a second subsequent time period subsequent to the second plurality of prior time periods. The trained first and second machine-learning models are used to predict malware in a future time period, and a classifier is trained using the malware from a plurality of the prior time periods and predicted malware from a future time period to train the classifier to identify and/or classify malware.