Selection of Countermeasures against Harmful Information based on the Assessment of Semantic Content of Information Objects in the Conditions of Uncertainty

Abstract

The paper suggests models, an algorithm and a common technique for selection of countermeasures against harmful information based on the assessment of semantic content of information objects in the conditions of uncertainty. The methods of processing of incomplete, conflicting and fuzzy knowledge are used. A version of the common algorithm for eliminating the uncertainties of assessment and categorization of information objects' semantic content while detecting harmful information is analysed. The results of operation of the technique to determine the list of available countermeasures considering the responsibility areas are discussed.