HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00125164" target="_blank" >RIV/00216224:14610/22:00125164 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/NOMS54207.2022.9789877" target="_blank" >http://dx.doi.org/10.1109/NOMS54207.2022.9789877</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NOMS54207.2022.9789877" target="_blank" >10.1109/NOMS54207.2022.9789877</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2022 IEEE/IFIP Network Operations and Management Symposium (NOMS 2022)
ISBN
9781665406017
ISSN
1542-1201
e-ISSN
—
Počet stran výsledku
6
Strana od-do
1-6
Název nakladatele
IEEE Xplore Digital Library
Místo vydání
Budapešť, Maďarsko
Místo konání akce
Budapešť, Maďarsko
Datum konání akce
1. 1. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000851572700131