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A Real Network Environment Dataset for Traffic Analysis
Wenyong Wang1,2, Wei Jiang1,2, Bin Zhang3
1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Scientific Data
|May 7, 2025
Summary
This study introduces a novel in-situ data collection scheme for internet traffic analysis. It provides a large, real-world dataset to improve network management and research accuracy.
Area of Science:
- Computer Science
- Network Engineering
Background:
- Internet traffic analysis is crucial for network management.
- Existing datasets lack real-world authenticity in scale, user behavior, and temporal/spatial characteristics.
Purpose of the Study:
- To propose an in-situ network deployment and data collection scheme.
- To create a large, authentic real Internet traffic dataset for research.
Main Methods:
- Deployed sensors on real-world network access equipment.
- Collected a large dataset including encrypted and non-encrypted traffic.
- Processed data through desensitization, cleaning, feature engineering, and labeling.
Main Results:
- Successfully collected a comprehensive real-world internet traffic dataset.
- Created an open database for traffic analysis researchers.
- Dataset includes diverse network conditions and user behaviors.
Conclusions:
- The proposed in-situ scheme enhances the authenticity of network traffic data.
- The open database facilitates advancements in internet traffic analysis and network management.
- Real-world data is essential for accurate network research and development.
