MODELS FOR ENHANCED PROTECTION OF PERSONAL DATA OF USERS OF THE DISTANCE LEARNING SYSTEM OF THE ARMED FORCES OF UKRAINE

Abstract

The problem of improving existing and developing new models and methods of increasing the security of personal data of users of the distance learning system of the Armed Forces of Ukraine based on artificial intelligence is substantiated. It has been proven that to ensure a high level of security of personal data of users of distance learning systems in modern conditions, progressive organizational, hardware and software solutions are actively used. An analysis of foreign and domestic experience in the development and implementation of personal data protection systems for users of the distance learning system is provided, and a conclusion is made about the possibility of significantly increasing their efficiency due to the development of mathematical and software. It is justified that the most relevant in this direction is the use of models and methods of artificial intelligence, namely, fuzzy logic and hybrid networks. Research materials are presented on the development of a methodology for improving the security of personal data of users of the distance learning system of the Armed Forces of Ukraine, which provides an effective response to the flow of threats and is based on the implementation of models and methods of fuzzy logic and hybrid networks; the model for determining the state of the personal data protection system and the method of forecasting the state of the personal data protection system are described. The results of computer modeling are presented.