Wavelet and fractal analysis based news spreading model

Authors

  • B. Smetanyuk National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Institute of Physics and Technology, Ukraine
  • V. Mishyn National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Institute of Physics and Technology, Ukraine
  • Y. Nakonechna National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Institute of Physics and Technology, Ukraine

DOI:

https://doi.org/10.20535/tacs.2664-29132020.1.209481

Abstract

The aggression of the Russian Federation in Ukraine has exposed a strategic problem, derived from an unwillingness to fully oppose the information confrontation. Media could do even more damage to the country’s defense capabilities than military action. Spreading fake news can be used to misrepresent, distort, and create a negative image of an informational event in society, as well as instill fear, panic, or downplay achievements. Little attention is paid to such information operations and approaches to their detection. The paper deals with the detection of such information effects using Exploratory data analysis, fractal and wavelet analysis, as well as factor structure analysis using neural networks for being defensive, understanding of methods and techniques used to attack in Informational Space is necessary.

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Published

2020-08-06

Issue

Vol. 2 No. 1 (2020)

Section

Social engineering and methods of counteracting destructive effects on consciousness in cyberspace

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