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CTU Hornet 65 Niner: A Network Dataset of Geographically Distributed Low-interaction Honeypots

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00380650" target="_blank" >RIV/68407700:21230/25:00380650 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.dib.2024.111261" target="_blank" >https://doi.org/10.1016/j.dib.2024.111261</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.dib.2024.111261" target="_blank" >10.1016/j.dib.2024.111261</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CTU Hornet 65 Niner: A Network Dataset of Geographically Distributed Low-interaction Honeypots

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/VJ02010020" target="_blank" >VJ02010020: AI-Dojo: Multiagent Testbed for Research and Testing of AI-driven Cybersecurity Technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Data in Brief

  • ISSN

    2352-3409

  • e-ISSN

  • Volume of the periodical

    58

  • Issue of the periodical within the volume

    February

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    8

  • Pages from-to

    1-8

  • UT code for WoS article

    001398955000001

  • EID of the result in the Scopus database

    2-s2.0-85214463271