HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic

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Publikace nespadá pod Fakultu sportovních studií, ale pod Ústav výpočetní techniky. Oficiální stránka publikace je na webu muni.cz.
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ŠPAČEK Stanislav VELAN Petr ČELEDA Pavel TOVARŇÁK Daniel

Rok publikování 2022
Druh Článek ve sborníku
Konference 2022 IEEE/IFIP Network Operations and Management Symposium (NOMS 2022)
Fakulta / Pracoviště MU

Ústav výpočetní techniky

Citace
www https://ieeexplore.ieee.org/document/9789877
Doi http://dx.doi.org/10.1109/NOMS54207.2022.9789877
Klíčová slova Network flow monitoring; host-based monitoring; event; flow; event-flow correlation; HTTPS; TLS; QUIC
Přiložené soubory
Popis Achieving situational awareness is a challenging process in current HTTPS-dominant web traffic. In this paper, we propose a new approach to encrypted web traffic monitoring. First, we design a method for correlating host-based and network monitoring data based on their common features and a correlation time-window. Then we analyze the correlation results in detail to identify configurations of web servers and monitoring infrastructure that negatively affect the correlation. We describe these properties and possible data preprocessing techniques to minimize their impact on correlation performance. Furthermore, to test the correlation method's behavior in different web server setups and for recent encryption protocols, we modify it by adapting the correlation features to TLS 1.3 and QUIC. Finally, we evaluate the correlation method on a dataset collected from a campus network. The results show that while the correlation requires monitoring of custom event and flow features, it remains feasible even when using encryption protocols designed for the near future.
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