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The presented article is devoted to the study of methods of protecting personal data from the influence of social engineers (SIN). In the course of the work, the types of personal data and ways of their entry into the network, methods of data protection in the network, methods of social engineering (SI) and methods of protection against SI were investigated, information resources containing information about social engineering and data protection were analyzed. Data collection was carried out by the survey method, which characterizes the behavior of people with personal data, in particular when using the Internet. The received data is processed with the help of intelligent data analysis tools using Google and Orange tools. A model of safe behavior has been developed for saving data on the network, the use of which will significantly complicate the access of social engineers to personal data of a person. The results of the study were implemented in the analytical platform KitStat as an update, which allows to provide informational support and ensure the continuation of data collection for further research. [ABSTRACT FROM AUTHOR]

The presented work is devoted to the study of the impact of social engineering (SI) methods on human health. In the course of the work, the definition of the term social engineering, its popularity, the algorithm of action of social engineers (SI), methods of influence of AI on a person, types of aggressive psychological influence on a person in cyberspace, means of overcoming the consequences of the influence of AI methods on a person, information systems that inform about AI methods and their impact on human health. Data collection was carried out using the survey method, which characterizes the impact of SIN on people's health. The received data is processed with the help of intelligent data analysis tools using Google and Orange tools. A model of the impact of AI on human health has been developed. The results of the study were implemented in the analytical platform KitStat as an update, which allows to provide informational support and ensure the continuation of data collection for further research. In the process of conducting the research, such tools and technologies as Google Forms, Google Analytics, Orange, HTML5, CSS3, PHP, JavaScript languages were used. The results of the research can be used both by specialists in the study of AI methods and by ordinary people to protect against the actions of social engineers. [ABSTRACT FROM AUTHOR]