Machine Learning approach for malware detection using executable files features extraction

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Bibliographic Details
Date:2018
Main Authors: A. A. Voranau, Y. V. Harakhavik
Format: Article
Language:English
Published: 2018
Series:Artificial intelligence
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0000999755
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author A. A. Voranau
Y. V. Harakhavik
author_facet A. A. Voranau
Y. V. Harakhavik
author_sort A. A. Voranau
collection Open-Science
first_indexed 2025-07-17T16:38:06Z
format Article
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-17T16:38:06Z
publishDate 2018
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series Artificial intelligence
spelling open-sciencenbuvgovua-322132024-02-27T22:08:52Z Machine Learning approach for malware detection using executable files features extraction A. A. Voranau Y. V. Harakhavik 2710-1673 2018 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0000999755 Article
spellingShingle Artificial intelligence
A. A. Voranau
Y. V. Harakhavik
Machine Learning approach for malware detection using executable files features extraction
title Machine Learning approach for malware detection using executable files features extraction
title_full Machine Learning approach for malware detection using executable files features extraction
title_fullStr Machine Learning approach for malware detection using executable files features extraction
title_full_unstemmed Machine Learning approach for malware detection using executable files features extraction
title_short Machine Learning approach for malware detection using executable files features extraction
title_sort machine learning approach for malware detection using executable files features extraction
url http://jnas.nbuv.gov.ua/article/UJRN-0000999755
work_keys_str_mv AT aavoranau machinelearningapproachformalwaredetectionusingexecutablefilesfeaturesextraction
AT yvharakhavik machinelearningapproachformalwaredetectionusingexecutablefilesfeaturesextraction