Evaluating machine learning algorithms for anomaly detection in clouds.
Anton GulenkoMarcel WallschlägerFlorian SchmidtOdej KaoFeng LiuPublished in: IEEE BigData (2016)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- intrusion detection
- learning algorithm
- machine learning
- decision trees
- detecting anomalies
- anomalous behavior
- machine learning methods
- network intrusion detection
- learning problems
- learning tasks
- network traffic
- machine learning approaches
- intrusion detection system
- unsupervised learning
- detect anomalies
- statistical machine learning
- network anomaly detection
- unsupervised anomaly detection
- neural network
- negative selection algorithm
- machine learning models
- network security
- detecting anomalous
- connectionist systems
- one class support vector machines
- standard machine learning algorithms