Encrypted Web Traffic Dataset: Event Logs and Packet Traces

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00125749" target="_blank" >RIV/00216224:14610/22:00125749 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.dib.2022.108188" target="_blank" >https://doi.org/10.1016/j.dib.2022.108188</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.dib.2022.108188" target="_blank" >10.1016/j.dib.2022.108188</a>

Result language

angličtina

Original language name

Encrypted Web Traffic Dataset: Event Logs and Packet Traces

Original language description

We present a dataset that captures seven days of monitoring data from eight servers hosting more than 800 sites across a large campus network. The dataset contains data from network monitoring and host-based monitoring. The first set of data are packet traces collected by a probe situated on the network link in front of the web servers. The traces contain encrypted HTTP over TLS 1.2 communication between clients and web servers. The second set of data is an event log captured directly on the web servers. The events are generated by the Internet Information Services (IIS) logging and include both the IIS default features and custom features, such as client port and transferred data volume. Anonymization of all features in the dataset has been carefully carried out to prevent private information leakage while preserving the information value of the dataset. The dataset is suitable mainly for training machine learning techniques for anomaly detection and the identification of relationships between network traffic and events on web servers. We also add tools, settings, and a guide to convert the packet traces to IP flows that are often preferred for network traffic analysis.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Data in Brief

ISSN

2352-3409

e-ISSN

—

Volume of the periodical

42

Issue of the periodical within the volume

June

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

10

Pages from-to

1-10

UT code for WoS article

000795935500014

EID of the result in the Scopus database

2-s2.0-85129507189