IMPROVEMENT OF THE MODEL OF INFORMATION PROTECTION IN SOCIAL NETWORKS
Nataliia V. Lukova-Chuiko, Serhii Toliupa, S.S. Pogasiy, T. O. Laptievа, Serhiі Laptiev · Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University · 2021
In Ukraine, the right to privacy is a constitutional guarantee, and the protection of personal data is one of the areas in which such a guarantee should be implemented. The subject of our research will not be objects in general, but dynamic systems of information protection in social networks in the mathematical sense of the term. Descriptions of dynamical systems for various problems depending on the law of evolution are various: by means of differential equations, discrete mappings, the theory of graphs, thetheory of Markov chains, etc. The choice of one of the methods of description determines the specific form of the mathematical model of the corresponding dynamic system. Theoretical study of the dynamic behavior of a real object requires the creation of its mathematical model. Most of the known approaches to modeling differ in what parameters they use as input information in modeling and what characteristics of the simulated system are calculated and output to the model. The article presents the development of an improved mathematical model of information protection in a social network depending on its specific parameters. Such as trust, reputation, the impact of data security threats from the dissemination of information between users, the impact of data security threats from user interactions, the impact of data security threats from user interaction, and the impact of data security threats from the length of the path between users. However, it should be noted that the parameters of the social network are much more. But we consider these parameters to be the most influential. Therefore, we pay attention to these specific parameters.Mathematical modeling of the improved model of information protection in the social network depending on its specific parameters is carried out. Graphic results reflect the current picture of protection of social network information from external influences. The obtained results confirm the adequacy of the developed mathematical model of information protection in the social network.