Work

MFWDD: Model-based Feature Weight Drift Detection Showcased on TLS and QUIC Traffic

Year: 2024

Type: conference-paper

Source: International Conference on Network and Service Management (CNSM)

DOI: 10.23919/cnsm62983.2024.10814630

Authors: Lukáš Jančička, Dominik Soukup, Josef Koumar, Filip Němec, Tomáš Čejka

Institutions: Czech Technical University in Prague, CESNET, zájmové sdružení právnických osob

Language: English

Topic: Data Stream Mining Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4405935927

FWCI: 0.883

Cites: 26

Cited by: 3

Related to: 10