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Dataset of intrusion detection alerts from a sharing platform
The dataset contains intrusion detection alerts obtained via an alert sharing platform (SABU) for one week. A plethora of heterogeneous intrusion detection systems deployed across several organizations contributed to the sharing platform. The alerts are stored in the intrusion Detection Extensible A...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701952/ https://www.ncbi.nlm.nih.gov/pubmed/33299907 http://dx.doi.org/10.1016/j.dib.2020.106530 |
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author | Husák, Martin Žádník, Martin Bartoš, Václav Sokol, Pavol |
author_facet | Husák, Martin Žádník, Martin Bartoš, Václav Sokol, Pavol |
author_sort | Husák, Martin |
collection | PubMed |
description | The dataset contains intrusion detection alerts obtained via an alert sharing platform (SABU) for one week. A plethora of heterogeneous intrusion detection systems deployed across several organizations contributed to the sharing platform. The alerts are stored in the intrusion Detection Extensible Alert (IDEA) format and categorized using the eCSIRT.net Incident Taxonomy. Dataset can be used in several areas of cybersecurity research for the analysis of intrusion detection alerts including temporal and spatial correlations, reputation scoring, attack scenario reconstruction, and attack projection. The network identifiers (e.g., IP addresses, hostnames) are anonymized. However, the list of interesting features (e.g., presence on blacklists, geolocation) of such entities at the time of data collection is provided. |
format | Online Article Text |
id | pubmed-7701952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77019522020-12-08 Dataset of intrusion detection alerts from a sharing platform Husák, Martin Žádník, Martin Bartoš, Václav Sokol, Pavol Data Brief Data Article The dataset contains intrusion detection alerts obtained via an alert sharing platform (SABU) for one week. A plethora of heterogeneous intrusion detection systems deployed across several organizations contributed to the sharing platform. The alerts are stored in the intrusion Detection Extensible Alert (IDEA) format and categorized using the eCSIRT.net Incident Taxonomy. Dataset can be used in several areas of cybersecurity research for the analysis of intrusion detection alerts including temporal and spatial correlations, reputation scoring, attack scenario reconstruction, and attack projection. The network identifiers (e.g., IP addresses, hostnames) are anonymized. However, the list of interesting features (e.g., presence on blacklists, geolocation) of such entities at the time of data collection is provided. Elsevier 2020-11-17 /pmc/articles/PMC7701952/ /pubmed/33299907 http://dx.doi.org/10.1016/j.dib.2020.106530 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Husák, Martin Žádník, Martin Bartoš, Václav Sokol, Pavol Dataset of intrusion detection alerts from a sharing platform |
title | Dataset of intrusion detection alerts from a sharing platform |
title_full | Dataset of intrusion detection alerts from a sharing platform |
title_fullStr | Dataset of intrusion detection alerts from a sharing platform |
title_full_unstemmed | Dataset of intrusion detection alerts from a sharing platform |
title_short | Dataset of intrusion detection alerts from a sharing platform |
title_sort | dataset of intrusion detection alerts from a sharing platform |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701952/ https://www.ncbi.nlm.nih.gov/pubmed/33299907 http://dx.doi.org/10.1016/j.dib.2020.106530 |
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