Informace o publikaci

Dataset of intrusion detection alerts from a sharing platform

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HUSÁK Martin ŽÁDNÍK Martin BARTOŠ Václav SOKOL Pavol

Rok publikování 2020
Druh Článek v odborném periodiku
Časopis / Zdroj Data in Brief
Fakulta / Pracoviště MU

Ústav výpočetní techniky

Citace
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Doi http://dx.doi.org/10.1016/j.dib.2020.106530
Klíčová slova Cyber security;Intrusion detection alerts;Information exchange;Geolocation;Reputation
Popis 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.
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