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

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 ci...

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Bibliografische Detailangaben

Hauptverfasser:	Veronica Valeros, Sebastian Garcia
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-02-01
Schriftenreihe:	Data in Brief
Schlagworte:	Honeypots dataset Cyber security Network attacks Geolocation Distributed attacks
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S235234092401223X
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