NON-LINEAR METHOD OF INFORMATION RISK ASSESSMENT BASED ON THE GROUP METHOD OF DATA HANDLING
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Борис Бутвін, Ольга Васильєва
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).