NON-LINEAR METHOD OF INFORMATION RISK ASSESSMENT BASED ON THE GROUP METHOD OF DATA HANDLING

Authors

  • Borys Butvin
  • Olha Vasylieva

Abstract

The article outlines main methodical provisions of the new non-linear approach on the basis of the group method of data handling to assess information risks as one of the components of the state information security research.

At the stage of information technologies advancement, information risk assessment can be automated through applying appropriate software and hardware systems. The analysis showed that existing methods and techniques for assessing information risks mostly use linear approaches, which can lead to significant methodological errors.

Therefore, the use of non-linear methods for assessing information risks is significantly relevant both in theory and practice. The nonlinear method application to assess information risks enables significant increase of the reliability and adequacy of mathematical models for calculating information risks. The developed method of converting the obtained nonlinear functional analysis enables carrying out practical calculations in the EXEL environment, which greatly expands the potential of applying this methodological approach.

Key words: national security, cyber security, information risks, group method of data handling.

Published

2024-02-29

How to Cite

Butvin, B., & Vasylieva, O. (2024). NON-LINEAR METHOD OF INFORMATION RISK ASSESSMENT BASED ON THE GROUP METHOD OF DATA HANDLING. Information Security of the Person, Society and State, (1-3 (34-36), 121–133. Retrieved from https://journals.uran.ua/ispss/article/view/291546

Issue

Section

FORMS, METHODS AND MEANS OF DETECTING, ASSESSING AND FORECASTING INFORMATION SECURITY THREATS TO UKRAINE