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Proceedings of the Institute for System Programming of the RAS, 2019, Volume 31, Issue 5, Pages 191–202
DOI: https://doi.org/10.15514/ISPRAS-2019-31(5)-15 (Mi tisp464) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Machine learning use cases in cybersecurity

S. M. Avdoshina, A. V. Lazarenkob, N. I. Chichilevab, P. A. Naumovb, P. G. Klyucharevc

a National Research University Higher School of Economics
b Group-IB
c Bauman Moscow State Technical University
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DOI: https://doi.org/10.15514/ISPRAS-2019-31(5)-15
Abstract: The problem regarding the use of machine learning in cybersecurity is difficult to solve because the advances in the field offer many opportunities that it is challenging to find exceptional and beneficial use cases for implementation and decision making. Moreover, such technologies can be used by intruders to attack computer systems. The goal of this paper to explore machine learning usage in cybersecurity and cyberattack and provide a model of machine learning-powered attack.
Keywords: cyberattack, cybersecurity, deep learning, machine learning, machine learning-powered cyberattack.
Document Type: Article
Language: English
Citation: S. M. Avdoshin, A. V. Lazarenko, N. I. Chichileva, P. A. Naumov, P. G. Klyucharev, “Machine learning use cases in cybersecurity”, Proceedings of ISP RAS, 31:5 (2019), 191–202
Citation in format AMSBIB
\Bibitem{AvdLazChi19}
\by S.~M.~Avdoshin, A.~V.~Lazarenko, N.~I.~Chichileva, P.~A.~Naumov, P.~G.~Klyucharev
\paper Machine learning use cases in cybersecurity
\jour Proceedings of ISP RAS
\yr 2019
\vol 31
\issue 5
\pages 191--202
\mathnet{http://mi.mathnet.ru/tisp464}
\crossref{https://doi.org/10.15514/ISPRAS-2019-31(5)-15}
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Proceedings of the Institute for System Programming of the RAS
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