Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection.
MohammadNoor InjadatFadi SaloAli Bou NassifAleksander EssexAbdallah ShamiPublished in: CoRR (2020)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- learning algorithm
- intrusion detection
- machine learning
- decision trees
- anomalous behavior
- machine learning methods
- learning problems
- detecting anomalies
- network traffic
- network intrusion detection
- detecting anomalous
- network anomaly detection
- learning tasks
- detect anomalies
- intrusion detection system
- machine learning models
- unsupervised learning
- one class support vector machines
- machine learning approaches
- sparse pca
- negative selection algorithm
- transfer learning
- data sets
- maximum likelihood
- data points
- real world