Research and Determination of Personal Information Security Culture Level Using Fuzzy Logic Methods

Dorosh, Mariia; Voitsekhovska, Mariia; Balchenko, Iryna

doi:10.1007/978-3-030-16621-2_47

Cited by 1 publication

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“…Klyaus and Gatchin (2020) suggest using the mathematical model for information security controls optimization and evaluating the information security systems' effectiveness using the gradient method. Fuzzy logic method can be used to protect personal data (Dorosh, Voitsekhovska, & Balchenko, 2019). For more complex systems, Schmitz and Pape (2020) recommend using comprehensive approaches, one of which is a lightweight, domain-specific framework to support information security decision-making.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the threat to national information security

Yarovenko

2020

Problems and Perspectives in Management

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An effective strategy for managing the national information security with capabilities to resist information threats significantly impacts its further development. This study aims to assess the level of threat to the information security of countries based on the integral index. It is proposed to use five indicators characterizing individual areas of information security and 37 world development indicators, selected from the World Bank database. Correlation analysis selected 12 out of 37 development indicators relevant to security indicators for which the correlation coefficient exceeded 0.5 or –0.5. The Harrington-Mencher function is proposed to determine the information security threat index. Nonlinear normalization was carried out to bring the initial data to a comparable measurement. Canonical analysis was performed to determine the indicator weights. The data from 159 countries were taken for 2018 to assess the index. The result was presented on the map showing countries’ distribution by the information security threat index, thus forming five groups. The group with a “very well” resistance to threats includes economically developed countries with a high level of information security. The “well” group was formed by new industrial and developing countries with economic potential sufficient to prevent information threats and combat their consequences. The information security level in developing countries, where the results of overcoming information threats will affect the economic sphere, is defined as “acceptable”. Countries with a low level of development and information security formed groups designated as “bad” and “very bad”, which indicates a high level of threats to their information security. AcknowledgmentThis work is carried out with in the tax payer – funded researches: No. 0118U003574 “Cybersecurity in the banking fraud enforcement: protection of financial service consumers and the financial and economic security growth in Ukraine”.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluating the threat to national information security

Yarovenko

2020

Problems and Perspectives in Management

View full text Add to dashboard Cite

show abstract

Research and Determination of Personal Information Security Culture Level Using Fuzzy Logic Methods

Cited by 1 publication

References 12 publications

Evaluating the threat to national information security

Evaluating the threat to national information security

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