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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092401223X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576463322218496 |
|---|---|
| author | Veronica Valeros Sebastian Garcia |
| author_facet | Veronica Valeros Sebastian Garcia |
| author_sort | Veronica Valeros |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-366e2d84ddf648618285e0515852ebe8 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-366e2d84ddf648618285e0515852ebe82025-01-31T05:11:43ZengElsevierData in Brief2352-34092025-02-0158111261CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley DataVeronica Valeros0Sebastian Garcia1Corresponding author:; Department of Computer Science, FEL, Czech Technical University in Prague, Technická 2, Prague 126 627, Czech RepublicDepartment of Computer Science, FEL, Czech Technical University in Prague, Technická 2, Prague 126 627, Czech RepublicThis 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.http://www.sciencedirect.com/science/article/pii/S235234092401223XHoneypots datasetCyber securityNetwork attacksGeolocationDistributed attacks |
| spellingShingle | Veronica Valeros Sebastian Garcia CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data Data in Brief Honeypots dataset Cyber security Network attacks Geolocation Distributed attacks |
| title | CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data |
| title_full | CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data |
| title_fullStr | CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data |
| title_full_unstemmed | CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data |
| title_short | CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data |
| title_sort | ctu hornet 65 niner a network dataset of geographically distributed low interaction honeypotsmendeley data |
| topic | Honeypots dataset Cyber security Network attacks Geolocation Distributed attacks |
| url | http://www.sciencedirect.com/science/article/pii/S235234092401223X |
| work_keys_str_mv | AT veronicavaleros ctuhornet65nineranetworkdatasetofgeographicallydistributedlowinteractionhoneypotsmendeleydata AT sebastiangarcia ctuhornet65nineranetworkdatasetofgeographicallydistributedlowinteractionhoneypotsmendeleydata |