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Machine Learning With Avatar-Based Management of Sleptsov Net-Processor Platform to Improve Cyber Security

Machine Learning With Avatar-Based Management of Sleptsov Net-Processor Platform to Improve Cyber Security
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Author(s): Vardan Mkrttchian (HHH University, Australia), Leyla Ayvarovna Gamidullaeva (Penza State University, Russia)and Sergey Kanarev (Penza State University, Russia)
Copyright: 2022
Pages: 12
Source title: Research Anthology on Machine Learning Techniques, Methods, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-6291-1.ch009

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Abstract

The literature review of known sources forming the theoretical basis of calculations on Sleptsova networks and on the basis of authors' developments in machine learning with avatar-based management established the basis for the future solutions to hyper-computations to support cyber security applications. The chapter established that the petri net performed exponentially slower and is a special case of the Sleptsov network. The universal network of Sleptsov is a prototype of the Sleptsov network processor. The authors conclude that machine learning with avatar-based management at the platform of the Sleptsov net-processor is the future solution for cyber security applications in Russia.

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