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CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines
Jan Luxemburk1,2, Karel Hynek1,2, Tomáš Čejka2
1Faculty of Information Technology, CTU in Prague, Thakurova 9, Prague, 160 00, Czech Republic.
Data in Brief
|January 23, 2023
Summary
This dataset offers insights into QUIC (Quick UDP Internet Connection) traffic, crucial for understanding the next generation of secure internet communication. It aids research in encrypted traffic analysis and QUIC deployment trends.
Area of Science:
- Computer Science
- Network Engineering
- Cybersecurity
Background:
- The QUIC protocol is emerging as a potential successor to TLS over TCP for secure internet communication.
- QUIC's design presents challenges for traditional traffic analysis, increasing the need for specialized datasets.
- HTTP/3's adoption further drives the demand for QUIC traffic research.
Purpose of the Study:
- To provide a comprehensive dataset of QUIC traffic for network monitoring and research.
- To facilitate studies on encrypted traffic classification using QUIC.
- To enable large-scale analysis of QUIC deployment characteristics.
Main Methods:
- Collected one month of QUIC traffic data within an ISP backbone network.
- Enriched the collected data into flow-based records.
- Included packet-level information, server names, QUIC versions, and user agents.
Main Results:
- The dataset comprises enriched QUIC traffic flows from a large-scale network.
- Includes server names and packet details for encrypted traffic analysis.
- Provides QUIC versions and user agents for deployment studies.
Conclusions:
- The dataset is valuable for network monitoring, encrypted traffic classification, and QUIC deployment research.
- Facilitates understanding of QUIC's role in modern internet infrastructure.
- Supports ongoing research into the evolution of secure internet protocols.
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