CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypots

This data article introduces a new network dataset created to help understand how geographical location impacts the quality, type, and amount of incoming network attacks received by honeypots. The dataset consists of 12.4 million network flows collected from nine low-interaction honeypots in nine cities across the world for 65 days, from April 29th to July 1st, 2024. Each low-interaction honeypot was identically configured to capture incoming attacks using a state-of-the-art network flow collector, Zeek. Honeypots were distributed in nine cities: Amsterdam, Bangalore, Frankfurt, London, New York, San Francisco, Singapore, Toronto, and Sydney. The dataset is in JSON format and contains all types of Zeek network flow files, including protocol-specific logs<i>.</i>

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Publication Details

Journal
Data in Brief
Published
2024-12-30
DOI
https://doi.org/10.1016/j.dib.2024.111261
Citations
3
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.05

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article

CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypots

Veronica Valeros, Sebastián García
3 citations
Data in Brief
Network Security and Intrusion Detection
1.05
article

CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypots

Veronica Valeros, Sebastián García
article en
3 citations

Abstract

This data article introduces a new network dataset created to help understand how geographical location impacts the quality, type, and amount of incoming network attacks received by honeypots. The dataset consists of 12.4 million network flows collected from nine low-interaction honeypots in nine cities across the world for 65 days, from April 29th to July 1st, 2024. Each low-interaction honeypot was identically configured to capture incoming attacks using a state-of-the-art network flow collector, Zeek. Honeypots were distributed in nine cities: Amsterdam, Bangalore, Frankfurt, London, New York, San Francisco, Singapore, Toronto, and Sydney. The dataset is in JSON format and contains all types of Zeek network flow files, including protocol-specific logs<i>.</i>

Data in BriefVol. 58
Czech Technical University in Prague (CZ)
Ministerstvo Vnitra České Republiky
Openalex Percentile: Top 20%
Network Security and Intrusion Detection
1.05
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