Dataset: Brute-Force Logins 2020 (BFL2020)
- Link:
- Autor/in:
- Verlag/Körperschaft:
- Universität Hamburg
- Erscheinungsjahr:
- 2020
- Medientyp:
- Datensatz
- Schlagworte:
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- Computer Science
- IT Security
- Intrusion Detection
- Brute-Force Attacks
- Beschreibung:
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This data set contains brute-force logins obtained by a honeypot instance between 2019-03-12 and 2019-06-13. If you use this data in a scientific context please cite our paper "Towards Data-Driven Characterization of Brute-Force Attackers".
@inproceedings{wilkens2020datadriven, title = {Towards {{Data-Driven Characterization}} of {{Brute-Force Attackers}}}, booktitle = {2020 {{IEEE Conference}} on {{Communications}} and {{Network Security}} ({{CNS}})}, author = {Wilkens, Florian and Fischer, Mathias}, date = {2020-06}, pages = {1--9}, publisher = {{IEEE}}, location = {{Virtual Event (Avignon, France)}}, doi = {10.1109/CNS48642.2020.9162326}, eventtitle = {2020 {{IEEE Conference}} on {{Communications}} and {{Network Security}} ({{CNS}})}, isbn = {978-1-72814-760-4}, langid = {english} }
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- Lizenzen:
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- https://opendatacommons.org/licenses/by/1.0/
- info:eu-repo/semantics/openAccess
- Quellsystem:
- Forschungsdatenrepositorium der UHH
Interne Metadaten
- Quelldatensatz
- oai:fdr.uni-hamburg.de:856
