Evaluation of Machine Learning Algorithms for Anomaly Detection.
Nebrase ElmrabitFeixiang ZhouFengyin LiHuiyu ZhouPublished in: Cyber Security (2020)
Keyphrases
- anomaly detection
- machine learning algorithms
- benchmark data sets
- learning algorithm
- intrusion detection
- machine learning
- machine learning methods
- decision trees
- detecting anomalies
- learning problems
- anomalous behavior
- network traffic
- machine learning models
- network intrusion detection
- machine learning approaches
- one class support vector machines
- intrusion detection system
- learning tasks
- network anomaly detection
- detecting anomalous
- unsupervised anomaly detection
- negative selection algorithm
- transfer learning
- network intrusion
- connectionist systems
- neural network
- unsupervised learning
- principal component analysis
- feature vectors
- data analysis
- real world