The article substantiates the need to develop and implement a distance course “Cloud technologies in the educational process in quarantine”. It is noted that the purpose of the course was to acquaint teachers of general secondary education institutions, college teachers, vocational and higher education institutions with the basic possibilities of using cloud technologies to ensure the educational process in distance learning. The list of topics with which the students get acquainted is given: basic concepts, models of cloud services, architecture and proposals from leading cloud services companies; cloud services in the work of the teacher, the peculiarities of working with mail; cloud storage as an alternative to replacing conventional drives; opportunities to create documents with the provision of sharing rights to multiple users; opportunities to create Internet surveys using cloud technologies; opportunities to create presentations using cloud technologies; cloud-based means of creating smart maps; means of creating sites; cloud-based learning management systems (for example, Google Classroom). The peculiarities of the proposed distance course and the difficulties that the students had in performing certain tasks are identified and described. The statistical results of the course are given.

Modern types of internal threats and methods of counteracting these threats are analyzed. It is established that increasing the competence of the staff of the institution through training (education) is the most effective method of counteracting internal threats to information. A method for assessing the influence of personnel competence on institutional information security is proposed. This method takes into account violator models and information threat models that are designed for a specific institution. The method proposes to assess the competence of the staff of the institution by three components: the level of knowledge, skills, and character traits (personal qualities). It is proposed to assess the level of knowledge based on the results of test tasks of different levels of complexity. Not only the number of correct answers is taken into account, but also the complexity of test tasks. It is proposed to assess the assessment of the level of skills as the ratio of the number of correctly performed practical tasks to the total number of practical tasks. It is assumed that the number of practical tasks, their complexity is determined for each institution by the direction of activity. It is proposed to use a list of character traits for each position to assess the character traits (personal qualities) that a person must have to effectively perform the tasks assigned to him. This list should be developed in each institution. It is proposed to establish a quantitative assessment of the state of information security, defining it as restoring the amount of probability of occurrence of a threat from the relevant employee to the product of the general threat and employees of the institution. An experiment was conducted, the results of which form a particular institution show different values of the level of information security of the institution for different values of the competence of the staff of the institution. It is shown that with the increase of the level of competence of the staff of the institution the state of information security in the institution increases.

The article explores data mining algorithms, which based on rules and calculations, that allow us to create a model that analyzes the data provided by searching for specific patterns and trends. The purpose of this work is to analyze correlation-regression algorithms on a statistical dataset of chronic diseases. Data mining allows building many models, multiple algorithms can be used within a single solution. The article explores the algorithms of clustering, correlation analysis, Naive Bayes algorithm for obtaining different views of data. Since diabetes is one of the most dangerous chronic diseases, the pathogenesis of which is a lack of insulin in the human body, which causes metabolic disorders and pathological changes in various organs and tissues. As a result, it leads to disability of all functional systems of the body. It was decided to investigate the data related to this disease. Also, the quality of the developed methods of information retrieval from the dataset was evaluated and the most informative features were identified. The developed methods were implemented in the system of intellectual data processing. Past studies show promise of using data mining methods to improve the quality of patient care.

The main aim of this research is the creation of information technology for mobile (of rapid deployment) security systems of the area perimeter. This system appears to be a complex of models and methods, information, software, and hardware mean that have interacted with users during decision-making and control of implementation for management solutions. The proposed information technology aimed at improving the protection level for security departments by automating the process of danger detection for perimeters and decision-making for alarm. The structural model of the system, the model of the system's components interaction, and the model of identifying the subjects of emergency threats have been proposed. A method for identifying unauthorized access to the perimeter of the secure facilities, using the production model of knowledge representation, was created. It is a set of linguistic expressions (such as "IF-THEN") and the knowledge matrix. The method of ranking for objects, which are threats of unauthorized access to the perimeter for secure facilities, has been proposed. The practical value of work consists of the possibility of the use of this information technology by perimeter's security systems of various objects. Proposed models are complete and suitable for hardware and software implementation.

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