Dataset of intrusion detection alerts from a sharing platform

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Ústav výpočetní techniky. Oficiální stránka publikace je na webu muni.cz.

Autoři	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
www	https://doi.org/10.1016/j.dib.2020.106530 https://www.sciencedirect.com/science/article/pii/S2352340920314128
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.
Související projekty:	Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur