- Patent Title: System and method of machine learning of malware detection model
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Application No.: US15907462Application Date: 2018-02-28
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Publication No.: US10795996B2Publication Date: 2020-10-06
- Inventor: Alexander S. Chistyakov , Ekaterina M. Lobacheva , Alexey M. Romanenko
- Applicant: AO Kaspersky Lab
- Applicant Address: RU Moscow
- Assignee: AO Kaspersky Lab
- Current Assignee: AO Kaspersky Lab
- Current Assignee Address: RU Moscow
- Agency: Arent Fox LLP
- Agent Michael Fainberg
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@6169e62
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06F21/57 ; G06F21/55 ; G06N20/00

Abstract:
Disclosed are systems and methods for machine learning of a model for detecting malicious files. The described system samples files from a database of files and trains a detection model for detecting malicious files on the basis of an analysis of the sampled files. The described system forms behavior logs based on executable commands intercepted during execution of the sampled files, and generates behavior patterns based on the behavior log. The described system determines a convolution function based on the behavior patterns, and trains a detection model for detecting malicious files by calculating parameters of the detection model using the convolution function on the behavior patterns. The trained detection model may be used to detect malicious files by utilizing the detection model on a system behavior log generated during execution of suspicious files.
Public/Granted literature
- US20190018960A1 SYSTEM AND METHOD OF MACHINE LEARNING OF MALWARE DETECTION MODEL Public/Granted day:2019-01-17
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