Marking a document using an expert-fuzzy approach to assessing the confidentiality of its constituent information
DOI:
https://doi.org/10.34121/1028-9763-2022-1-52-61Keywords:
document marking, confidentiality factor, expert judgment, fuzzy set, fuzzy inference, маркування документів, фактор конфіденційності, експертна оцінка, нечітка множина, нечіткий висновокAbstract
The intensive development of information technologies predetermined the increased interest of society in the problems of information and information security and led to a sharp increase in the industry-wide scientific activity in this area. Numerous scientific works in the subject area have become the basis for the development of theoretical foundations for the regulation of public relations in the information sphere. At the same time, the listed works are of an exclusively civil law nature. The issues of regulating relations regarding commercial secrets are either not considered at all or are considered fragmentarily. A comprehensive study on the multi-criteria assessment of the levels of information confidentiality to be included in the document has not previously been undertaken. The article discusses an approach to assessing the level of information confidentiality to be included in a future document. This approach is based on the application of expert judgments regarding the degree of influence of confidentiality features on the final level of confidentiality. The fuzzy inference mechanism, which constitutes the analytical essence of the approach, solves the task, relying on a direct cause-effect relation between the signs of the information confidentiality and the levels of the confidentiality of the documents. Earlier, because of the application of the fuzzy inference system, it was possible to form a reasonable scale of gradation of the levels of the confidentiality of the documents and it is quite easy to obtain final estimates of the levels of the information confidentiality to be included in a future document. In the current article, a similar problem is solved, but with the use of another method of fuzzification of confidentiality features as qualitative assessment criteria.References
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