Skip to content
DSML.KZ
Publications

Article · International Journal of Electronics and Telecommunications · July 31, 2026

Hybrid method for detecting atypical behavior of users of information and educational systems based on Digital Traces analysis

Olena Kryvoruchko, Мирослав Лахно, Elizaveta O. Zavhorodnya, Yaroslav Shestak, Valeriy Lakhno, Bauyrzhan Tynymbayev

Valerii Lakhno
Open via DOIPDF

Abstract

The study presents a hybrid multi-level method for analysing the digital traces of users of information and educational systems (IES) in higher education institutions, aimed at detecting atypical behaviour and assessing information-security risks. The method integrates hierarchical structuring of event processes, graph-cluster analysis of interactions, and behavioural risk assessment based on a hybridisation of machine-learning models. The use of real event logs made it possible to demonstrate the method’s effectiveness in detecting risk-related deviations that cannot be identified using existing tools for monitoring user behaviour in information and educational systems in higher education institutions.

Network Security and Intrusion DetectionInformation and Cyber SecurityUser Authentication and Security Systemsdigital traceshigher education institutionsinformation security risk assessment

More by Valerii Lakhno