Evaluation of Machine Learning Algorithms for Anomaly Detection in Industrial Networks.
Giuseppe BernieriMauro ContiFederico TurrinPublished in: M&N (2019)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- intrusion detection
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- network traffic
- network intrusion detection
- anomalous behavior
- detecting anomalies
- machine learning approaches
- machine learning models
- intrusion detection system
- network anomaly detection
- one class support vector machines
- learning problems
- network security
- negative selection algorithm
- unsupervised learning
- unsupervised anomaly detection
- learning tasks
- social networks
- computer networks
- detecting anomalous
- statistical machine learning
- pattern discovery
- cumulative sum
- reinforcement learning