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Objectives. Emerging as a response to the global threats presented by the COVID-19 pandemic, the changing nature of problem-solving in the field of information technology associated with economic globalization, including possibilities of remote working, imposes new requirements on the competencies and skills of future professionals. This, in turn, requires adjustments to the higher education process. Agile project management methodologies such as Scrum, along with Infrastructure-as-Code approaches in information and telecommunication infrastructure management, and Documentation-as-Code approaches in documentation development, aim to present design, development, testing, and documentation as short cycle iterative processes to permit the rapid and transparent addition of new product value in discrete portions. Applied to the education sphere, this approach implies new knowledge and practical skills of students that can be easily and transparently measured in the process of mastering a discipline. The present paper aims to develop methods of applying modern software development techniques to training students of technical specialties.Methods. The use of reproducible research methods and agile design practices while organizing and managing practical tasks for students is proposed.Results. Contemporary tools used in software development based on Git hosting services (GitLab and GitHub) are presented alongside reproducible research paradigms in distance education using the R Markdown format by RStudio.Conclusions. In addition to increasing the involvement of students in the process of practical tasks, the proposed approach can be used to reduce the workload of teachers when checking and evaluating student working results.

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Development of the information space to an avalanche-like increase in the volume of mobile data on the Internet. The generated digital portraits of users are becoming one of the main products for sale. The high quality of user digital portraits and their number is achieved through the use of intelligent data processing methods and the presence of large data sets. The volume of data processed by mobile devices and the number of modern services that collect various types of information make the issue of ensuring the confidentiality of user information the most important. Existing security mechanisms for mobile operating systems, as a rule, are aimed at neutralizing harmful effects and do not ensure the safety of personal data from legitimate services. The article proposes a model for assessing the risks of compromising personal data on mobile devices based on the correlation analysis of public information about service developers in order to detect the possibility of aggregating data from various sources.

One of the main directions of information systems development is to increase the efficiency of collecting, processing and exchanging information through the introduction of modern data transfer technologies, automated remote monitoring and control. The cornerstone of this concept is mobile devices that solve the issue of operational data exchange and processing. Modern mobile services used including the exchange and processing of personalized, banking and critical data are the result of the steady increase in the number of crimes in the field of information security in relation to and using mobile devices. The widespread use of these devices for access to protected information contained in information systems has given special importance to the issue of information security.The subject of this research is to assess the current state of information security mechanisms for mobile operating systems that form the basis of the structure of episodic distributed mobile networks. The Android OS (operating system) was used as an example. The article discusses the problems of the development of a mobile ecosystem and methods aimed at solving them, the main vectors of malicious impact, ways of countering the means of static and dynamic analysis and modern protection mechanisms.