Invention Grant
- Patent Title: Machine learning based malware detection system
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Application No.: US15823673Application Date: 2017-11-28
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Publication No.: US10721247B2Publication Date: 2020-07-21
- Inventor: Dmitriy Komashinskiy , Paolo Palumbo
- Applicant: F-Secure Corporation
- Applicant Address: FI Helsinki
- Assignee: F-Secure Corporation
- Current Assignee: F-Secure Corporation
- Current Assignee Address: FI Helsinki
- Agency: Harrington & Smith
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@1a6fcb21
- Main IPC: G06F7/04
- IPC: G06F7/04 ; H04L29/06 ; G06N20/00 ; G06N5/02

Abstract:
There are provided measures for machine learning based malware detection systems. Such measures exemplarily include analyzing a set of training data, said set of training data comprising a plurality of training data elements, wherein each of said plurality of training data elements is associated with a respective one of at least two maliciousness related properties, learning a malicious object detection model on the basis of first feature combinations of said plurality of training data elements, said first feature combinations characterizing each of said at least two maliciousness related properties, learning an anomalous data detection model on the basis of second feature combinations of said plurality of training data elements, said second feature combinations characterizing said set of training data, said anomalous data detection model being associated with said malicious object detection model, and providing said malicious object detection model and said anomalous data detection model.
Public/Granted literature
- US20180159871A1 Machine Learning Based Malware Detection System Public/Granted day:2018-06-07
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