Perspective Tools to Improve Machine Learning Applications for Cyber Security

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Author(s): Vardan Mkrttchian (HHH University, Australia)and Leyla Ayvarovna Gamidullaeva (Penza State University, Russia)
Copyright: 2020
Pages: 10
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.ch071

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

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Abstract

This article presents and briefly discusses the possible results of the use of avatar-based management (A-BM) techniques for designing new tools to improve machine learning applications as the technologies for the cybersecurity systems. This article aims to develop possible solutions to deal with the problem of cybersecurity escalation in of the government and private organizations. The research indicated that currently machine learning applications for cybersecurity need new tools with software for network monitoring use of blockchain technology.

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Perspective Tools to Improve Machine Learning Applications for Cyber Security

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