Cargando…
How to Effectively Collect and Process Network Data for Intrusion Detection?
The number of security breaches in the cyberspace is on the rise. This threat is met with intensive work in the intrusion detection research community. To keep the defensive mechanisms up to date and relevant, realistic network traffic datasets are needed. The use of flow-based data for machine-lear...
Autores principales: | Komisarek, Mikołaj, Pawlicki, Marek, Kozik, Rafał, Hołubowicz, Witold, Choraś, Michał |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619486/ https://www.ncbi.nlm.nih.gov/pubmed/34828230 http://dx.doi.org/10.3390/e23111532 |
Ejemplares similares
-
The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset
por: Mihailescu, Maria-Elena, et al.
Publicado: (2021) -
On the Impact of Network Data Balancing in Cybersecurity Applications
por: Pawlicki, Marek, et al.
Publicado: (2020) -
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection
por: Dutta, Vibekananda, et al.
Publicado: (2020) -
New explainability method for BERT-based model in fake news detection
por: Szczepański, Mateusz, et al.
Publicado: (2021) -
Sensors and Pattern Recognition Methods for Security and Industrial Applications
por: Choraś, Michał, et al.
Publicado: (2022)