Hunting Network Anomalies in a Railway Axle Counter System

This paper presents a comprehensive investigation of machine learning-based intrusion detection methods to reveal cyber attacks in railway axle counting networks. In contrast to the state-of-the-art works, our experimental results are validated with testbed-based real-world axle counting components....

Descripción completa

Detalles Bibliográficos
Autores principales: Kuchar, Karel, Holasova, Eva, Pospisil, Ondrej, Ruotsalainen, Henri, Fujdiak, Radek, Wagner, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052167/
https://www.ncbi.nlm.nih.gov/pubmed/36991830
http://dx.doi.org/10.3390/s23063122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052167/
https://www.ncbi.nlm.nih.gov/pubmed/36991830
http://dx.doi.org/10.3390/s23063122

Ejemplares similares