DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems

We present the first dataset that aims to serve as a benchmark to validate the resilience of botnet detectors against adversarial attacks. This dataset includes realistic adversarial samples that are generated by leveraging two widely used Deep Reinforcement Learning (DRL) techniques. These adversar...

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Detalles Bibliográficos
Autores principales: Venturi, Andrea, Apruzzese, Giovanni, Andreolini, Mauro, Colajanni, Michele, Marchetti, Mirco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749366/
https://www.ncbi.nlm.nih.gov/pubmed/33365367
http://dx.doi.org/10.1016/j.dib.2020.106631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749366/
https://www.ncbi.nlm.nih.gov/pubmed/33365367
http://dx.doi.org/10.1016/j.dib.2020.106631

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