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....

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Bibliografske podrobnosti

Principais autores:	Karel Kuchar, Eva Holasova, Ondrej Pospisil, Henri Ruotsalainen, Radek Fujdiak, Adrian Wagner
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-03-01
Serija:	Sensors
Teme:	attack classification axle counter feature selection ICS neural network OT
Online dostop:	https://www.mdpi.com/1424-8220/23/6/3122
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