MODELS AND ALGORITHMS FOR IDENTIFYING RELATIONSHIPS IN TUNNEL TRAFFIC
DOI:
https://doi.org/10.30888/2663-5712.2026-35-01-100Keywords:
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 statistiReferences
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Жилич, В.A., Цаволик, Т.Г. (2023) Алгоритми безпеки для віртуальних приватних мереж VPN, магіст. кваліфікаційна робота, Західноукраїнський національний університет, Тернопіль. http://dspace.wunu.edu.ua/handle/316497/50201
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