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Title: METHODOLOGY OF THE CYBER SECURITY THREATS RISK ASSESSMENT BASED ON THE FUZZY-MULTIPLE APPROACH
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METHODOLOGY OF THE CYBER SECURITY THREATS RISK ASSESSMENT BASED ON THE FUZZY-MULTIPLE APPROACH
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1314-2704
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English
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19
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2.1
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Due to the massive development of information technology the amount of attacks on information systems has increased. Additionally, the attack features changed as well. They have acquired signs of hybridity, which is why it's much more difficult to prevent them. Information systems management is virtually impossible without security and safety management; whose main component is the assessment of existing risks. The subject of the study is the process of assessing the information security risk level that is being implemented through the fuzzy logic apparatus. The purpose of this work is to develop a methodology for assessing the information security risk degree, which would allow to eliminate the factor of uncertainty. The proposed methodology is to introduce term sets for each of the system characteristics and linguistic evaluation of the indicators. The article describes the main stages of implementation of the proposed methodology. The methodology presented in the article provides the opportunity to translate the obtained risk assessment results from a mathematical language into a linguistic form that is more comprehensible to the decision maker. This increases the effectiveness of the system security mechanisms.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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437-444
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30 June - 6 July, 2019
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website
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cdrom
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5379
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information security; risk assessment; fuzzy sets.
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