Machine Learning and Cyber Security: Future Potential of the Research

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Author(s): Vardan Mkrttchian (HHH University, Australia), Sergey Kanarev (Penza State University, Russia)and Leyla Ayvarovna Gamidullaeva (Penza State University, Russia)
Copyright: 2020
Pages: 9
Source title: Encyclopedia of Criminal Activities and the Deep Web
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-9715-5.ch070

Keywords: Criminal Science and Forensics / Criminology & Victimology / Information Science Reference / Social Sciences & Humanities

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Abstract

Cybersecurity has become an important subject of national, international, economic, and social importance that affects multiple nations. The literature review of known sources is forming theoretical bases of calculations on Sleptsov networks. The universal network of Sleptsov is a prototype of the Sleptsov network processor. The authors in the article research the emerging trends and theoretical perspectives of cyber security development using machine-learning technique with avatar-based management at the platform of Sleptsov net-processor and propose further prospects for development of hyper-computation.

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Machine Learning and Cyber Security: Future Potential of the Research

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