Method for machine learning of malicious code detecting model and method for detecting malicious code using the same
US11475133B2 · kind B2 · utility
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Key dates
| Filing date | Oct 28, 2020 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Jan 27, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a malicious code detection model and a method of detecting a malicious code. The method includes acquiring application programming interface (API) call information of called functions from a result log of performing dynamic analysis of a malicious code, calculating time intervals between timestamps using the timestamps which indicate API call times extracted from the API call information, determining a feature value of the malicious code on the basis of the time intervals, and training the malicious code detection model using an API call sequence included in the API call information and the feature value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.