Dataset: Brute-Force Logins 2020 (BFL2020)

Link:
Autor/in:
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2020
Medientyp:
Datensatz
Schlagworte:
  • Computer Science
  • IT Security
  • Intrusion Detection
  • Brute-Force Attacks
Beschreibung:
  • 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} } 

     

relatedIdentifier:
DOI 10.1109/CNS48642.2020.9162326 DOI 10.25592/uhhfdm.855
Lizenzen:
  • 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