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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/VJ02010020" target="_blank" >VJ02010020: AI-Dojo: Multiagentní testbed pro výzkum a testování umělé inteligence v kyberbezpečnosti</a><br>

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Data in Brief

ISSN

2352-3409

e-ISSN

—

Svazek periodika

58

Číslo periodika v rámci svazku

February

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

001398955000001

EID výsledku v databázi Scopus

2-s2.0-85214463271