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
\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}
Linking options:
https://www.mathnet.ru/eng/tisp464
https://www.mathnet.ru/eng/tisp/v31/i5/p191
This publication is cited in the following 2 articles:
Shubhangi Shambharkar, Anil Kumar, Sukhvinder Singh Dari, Ira Joshi, Sonali Prashant Bhoite, Aparna S. Shirkande, Ira Indurkar, Smart Innovation, Systems and Technologies, 422, Innovations in Information and Decision Sciences, 2025, 503
Antonio João Gonçalves de Azambuja, Christian Plesker, Klaus Schützer, Reiner Anderl, Benjamin Schleich, Vilson Rosa Almeida, “Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey”, Electronics, 12:8 (2023), 1920
Citation in format AMSBIB
Contact us: