A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems.
Macilio da Silva FerreiraLucio Flavio VismariPaulo Sérgio CugnascaJorge Rady de Almeida Jr.João Batista Camargo Jr.Guilherme KallembackPublished in: ICMLA (2019)
Keyphrases
- anomaly detection
- unsupervised learning
- intrusion detection
- network intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- network traffic
- detecting anomalous
- connectionist systems
- behavior analysis
- unsupervised anomaly detection
- machine learning
- network anomaly detection
- computer security
- feature selection
- network security
- supervised learning
- self organizing maps
- computer systems
- dimensionality reduction
- text mining
- semi supervised
- information systems
- intrusion prevention
- computer vision