Stepanov Mikhail Aleksandrovich (graduate student,
Tomsk Polytechnic University, Russia, Tomsk
)
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Cluster analysis (CA) can be used in the process of studying Digital Traces (DT) of students of an educational institution, as well as other educational institutions that implement the Digital Educational Environment (DEE) in the educational process. The use of CA methods will improve the personalization of training and increase the effectiveness of educational programs. In the context of ensuring Information Security (IS) of the DEE of educational institutions, the technologies and methods of CA analysis can be useful, for example, for: monitoring students' network activity; analyzing student authorization and authentication logs; detecting malware and attacks on the DEE; analyzing information security threats to the DEE as a whole; predicting vulnerabilities. The paper presents the results of experimental studies of the level of competence of students of different specialties at the university in information security and protection of information assets of the DEE. CA methods were used in the process of studying the DT of students. Based on the DT of different groups of students registered in the university's DEE, six types of users were identified. As a result of applying the CA methods, the students registered in the university's DEE were divided into corresponding clusters according to the criteria affecting the information security risks.
Keywords:digital traces; cluster analysis; digital educational environment of the educational institution; information secure
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Citation link:
Stepanov M. A. DEVELOPMENT OF A DATA MODEL FOR THE DIGITAL FOOTPRINT OF PROJECTS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№04. -С. 136-141 DOI 10.37882/2223-2966.2025.04.37 |
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