МОДЕЛІ ТА АЛГОРИТМИ ІДЕНТИФІКАЦІЇ ЗАСТОСУНКІВ У ТУНЕЛЬНОМУ ТРАФІКУ

Vitaliy Klyushnik; Evgeny Chernetsky; Vitaliy Klyushnik; Evgeny Chernetsky

doi:10.30888/2663-5712.2026-35-01-100

MODELS AND ALGORITHMS FOR IDENTIFYING RELATIONSHIPS IN TUNNEL TRAFFIC

Authors

Vitaliy Klyushnik Ukrainian State University of Science and Technologies https://orcid.org/0009-0004-2134-4248
Evgeny Chernetsky Ukrainian State University of Science and Technologies https://orcid.org/0000-0002-4197-7171

DOI:

https://doi.org/10.30888/2663-5712.2026-35-01-100

Keywords:

tunneled traffic, application identification, hidden Markov models, encrypted traffic, network traffic analysis, VPN, machine learning.

Abstract

The article considers the problem of identifying applications in tunnel traffic in conditions of widespread use of encryption, VPN technologies, and anonymous networks. An identification model based on hidden Markov models is proposed, which uses statisti

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Published

2026-01-30

How to Cite

Клюшник, В., & Чернецький, Є. (2026). MODELS AND ALGORITHMS FOR IDENTIFYING RELATIONSHIPS IN TUNNEL TRAFFIC. SWorldJournal, 1(35-01), 220–228. https://doi.org/10.30888/2663-5712.2026-35-01-100