Event-Flow Correlation for Anomaly Detection in HTTP/3 Web Traffic
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Article in Proceedings |
| Conference | 2023 IEEE/IFIP Network Operations and Management Symposium (NOMS 2023) |
| MU Faculty or unit | |
| Citation | |
| web | https://ieeexplore.ieee.org/document/10154211 |
| Doi | http://dx.doi.org/10.1109/NOMS56928.2023.10154211 |
| Keywords | Network flow monitoring; host-based monitoring; event; flow; event-flow correlation; HTTP/3 |
| Attached files | |
| Description | The new HTTP/3 protocol for web traffic was recently released, superseding the widely used HTTP/2. It now supports exclusively encrypted transmissions and brings a lot of other changes. Many of these changes promote user privacy but hinder security monitoring of network traffic. In the past, the direct correlation of events and flows generated by the HTTP/2 web traffic enriched the encrypted network flows with the content from the web server's event log. In this paper, we modify the event-flow correlation method for the HTTP/3 protocol. Then, we deploy and evaluate the correlation method on a real traffic dataset. We compare the results of the correlation with the results for HTTP/2 and discuss the differences in the correlation of the new protocol compared to the original one. The results show that event-flow correlation can still enrich HTTP/3 network flows, albeit it introduces new challenges to cope with. |
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