LADS: A Live Anomaly Detection System based on Machine Learning Methods.
Gustavo Gonzalez GranadilloRodrigo DiazIbéria MedeirosSusana Gonzalez ZarzosaDawid MachnickiPublished in: ICETE (2) (2019)
Keyphrases
- machine learning methods
- anomaly detection
- intrusion detection
- machine learning
- detecting anomalies
- machine learning algorithms
- unsupervised anomaly detection
- machine learning approaches
- network intrusion detection
- ensemble methods
- anomalous behavior
- network traffic
- network security
- unsupervised learning
- statistical methods
- computer security
- one class support vector machines
- detecting anomalous
- intrusion detection system
- behavior analysis
- detect anomalies
- reinforcement learning
- decision trees
- pattern mining
- learned knowledge
- cumulative sum