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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Identification of Network Applications from Encrypted Communications
 Šafář, Radim ; Dolejška, Daniel (referee) ; Ryšavý, Ondřej (advisor)
The goal of this thesis is creation of tool that is able to detect applications from encrypted traffic using machine learning. Data source for clasification are network flows captured with tool Suricata, not the entire content of communication. Main source are TLS handshakes, which are able to be fingeprinted with fingerprints JA3 or JA4 making flows easier to identify. Thesis also addresses the issue of JA4 not being implemented in used tools. For clasification is used library ML.NET which makes the process of creating a model easier.
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