A Real Network Environment Dataset for Traffic Analysis

The objective of internet traffic analysis is to identify latent patterns and ascertain the true state of internet operations by examining traffic data. This approach is considered an effective and valuable means to achieve accurate network management. Whilst the extant network traffic datasets are predominantly collated within a laboratory environment, exhibiting deficiencies with regard to authenticity in terms of network scales, users, behaviours, and temporal and spatial characteristics, this paper proposes an in-situ network deployment and data collection scheme involving a large number of devices and users. The scheme involves the collection of a large real Internet traffic dataset including encrypted and non-encrypted traffic through sensors deployed on real-world network access equipment. Through desensitization, cleaning, feature engineering and labelling, an open database is created for researchers in the field of traffic analysis to use in academic and engineering.

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Institutions

Publication Details

Journal
Scientific Data
Published
2025-05-07
DOI
https://doi.org/10.1038/s41597-025-04876-2
Citations
4
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
5.95

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article

A Real Network Environment Dataset for Traffic Analysis

Qixun Zhu, Wenyong Wang, Bin Zhang, Wei Jiang et al.
4 citations
Scientific Data
Network Security and Intrusion Detection
5.95
article

A Real Network Environment Dataset for Traffic Analysis

Qixun Zhu, Wenyong Wang, Bin Zhang, Wei Jiang, Conghui Liao
article en
4 citations

Abstract

The objective of internet traffic analysis is to identify latent patterns and ascertain the true state of internet operations by examining traffic data. This approach is considered an effective and valuable means to achieve accurate network management. Whilst the extant network traffic datasets are predominantly collated within a laboratory environment, exhibiting deficiencies with regard to authenticity in terms of network scales, users, behaviours, and temporal and spatial characteristics, this paper proposes an in-situ network deployment and data collection scheme involving a large number of devices and users. The scheme involves the collection of a large real Internet traffic dataset including encrypted and non-encrypted traffic through sensors deployed on real-world network access equipment. Through desensitization, cleaning, feature engineering and labelling, an open database is created for researchers in the field of traffic analysis to use in academic and engineering.

Scientific DataVol. 12(1)
Macau University of Science and Technology (MO), University of Electronic Science and Technology of China (CN), Sichuan Provincial Architectural Design and Research Institute (China) (CN), Health and Family Planning Commission of Sichuan Province (CN), Sichuan Highway Design and Research Institute (CN), China Telecom (China) (CN), Science and Technology Department of Sichuan Province (CN)
University of Electronic Science and Technology of China
Openalex Percentile: Top 4%
Network Security and Intrusion Detection
5.95
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A Real Network Environment Dataset for Traffic Analysis — Qixun Zhu, Wenyong Wang, et al. · Scientific Data (2025) | TGRS Research Map | TGRS