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2022-09-16
Simankov, Vladimir S., Buchatskiy, Pavel Yu., Shopin, Andrey V., Teploukhov, Semen V., Buchatskaya, Victoria V..  2021.  An Approach to Identifying the Type of Uncertainty of Initial Information Based on the Theory of Fuzzy Logic. 2021 XXIV International Conference on Soft Computing and Measurements (SCM). :150—153.
The article discusses an approach to identifying the uncertainty of initial information based on the theory of fuzzy logic. A system of criteria for initial information is proposed, calculated on the basis of the input sample, and characterizing the measure of uncertainty present in the system. The basic requirements for the choice of membership functions of the fuzzy inference system are indicated and the final integrated output membership function is obtained, which describes the type of uncertainty of the initial information.
2021-01-18
Laptiev, O., Shuklin, G., Hohonianc, S., Zidan, A., Salanda, I..  2019.  Dynamic Model of Cyber Defense Diagnostics of Information Systems With The Use of Fuzzy Technologies. 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT). :116–119.
When building the architecture of cyber defense systems, one of the important tasks is to create a methodology for current diagnostics of cybersecurity status of information systems and objects of information activity. The complexity of this procedure is that having a strong security level of the object at the software level does not mean that such power is available at the hardware level or at the cryptographic level. There are always weaknesses in all levels of information security that criminals are constantly looking for. Therefore, the task of promptly calculating the likelihood of possible negative consequences from the successful implementation of cyberattacks is an urgent task today. This paper proposes an approach of obtaining an instantaneous calculation of the probabilities of negative consequences from the successful implementation of cyberattacks on objects of information activity on the basis of delayed differential equation theory and the mechanism of constructing a logical Fuzzy function. This makes it possible to diagnose the security status of the information system.