SYSTEMATIC ANALYSIS OF DIGITAL TRACES IN THE UNIVERSITY INFORMATION AND EDUCATIONAL SYSTEM

Authors

DOI:

https://doi.org/10.28925/2663-4023.2025.27.709

Keywords:

digital educational environment, university, digital footprints, matrix factorization, machine learning, information security, competencies.

Abstract

Under the conditions of rapid development of digital technologies and the growth of cyber threats to information systems, which are widely used in many areas of human activity, the relevance of mastering information security (IS) competencies is becoming increasingly obvious. Training university students in the IS not only expands their professional competencies, but also plays a key role in the formation of qualified specialists capable of effectively solving new challenges in the field of cyber threats. Such specialists will have a proactive position and the ability to self-organize under the conditions of constantly changing cyber threats, which is especially important in business processes built on digital technologies. This paper proposes an algorithm for a decision support system (DSS), aimed at improving the quality of education and the level of security of the university's digital educational environment (DSE). The algorithm is based on the analysis of digital footprints (DF) of users and can be implemented in the model of intelligent assistant for the CSOS. The essence of the proposed approach is to use matrix factorization of the DSS of users, which allows more effective management and analysis of information about the activities of students and teachers in the digital space. One of the key advantages of this approach is its ability to solve the problem of developing the competency profile of students, especially in the field of IS. The specified algorithm contributes to a deeper understanding and mastery of the necessary skills, which, in turn, significantly increases the degree of security of the CSOS and computer systems of universities. In the context of the growing number of cyber threats and the increasing complexity of their manifestations, the proposed solutions help to ensure reliable protection of the educational infrastructure and contribute to the training of specialists ready for the challenges of modern digital world.

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Published

2025-03-27

How to Cite

Lakhno, M. (2025). SYSTEMATIC ANALYSIS OF DIGITAL TRACES IN THE UNIVERSITY INFORMATION AND EDUCATIONAL SYSTEM. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 3(27), 72–86. https://doi.org/10.28925/2663-4023.2025.27.709