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Machine Learning and Cyber Security: Future Potential of the Research

Machine Learning and Cyber Security: Future Potential of the Research

Vardan Mkrttchian, Sergey Kanarev, Leyla Ayvarovna Gamidullaeva
Copyright: © 2020 |Pages: 9
ISBN13: 9781522597155|ISBN10: 1522597158|EISBN13: 9781522597162
DOI: 10.4018/978-1-5225-9715-5.ch070
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MLA

Mkrttchian, Vardan, et al. "Machine Learning and Cyber Security: Future Potential of the Research." Encyclopedia of Criminal Activities and the Deep Web, edited by Mehdi Khosrow-Pour D.B.A., IGI Global, 2020, pp. 1034-1042. https://doi.org/10.4018/978-1-5225-9715-5.ch070

APA

Mkrttchian, V., Kanarev, S., & Gamidullaeva, L. A. (2020). Machine Learning and Cyber Security: Future Potential of the Research. In M. Khosrow-Pour D.B.A. (Ed.), Encyclopedia of Criminal Activities and the Deep Web (pp. 1034-1042). IGI Global. https://doi.org/10.4018/978-1-5225-9715-5.ch070

Chicago

Mkrttchian, Vardan, Sergey Kanarev, and Leyla Ayvarovna Gamidullaeva. "Machine Learning and Cyber Security: Future Potential of the Research." In Encyclopedia of Criminal Activities and the Deep Web, edited by Mehdi Khosrow-Pour D.B.A., 1034-1042. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9715-5.ch070

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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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