Machine Learning for anomaly detection. Performance study considering anomaly distribution in an imbalanced dataset.
Salma El HajjamiJamal MalkiMohammed BerradaBouziane FourkaPublished in: Cloudtech (2020)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- network anomaly detection
- one class support vector machines
- unsupervised learning
- intrusion detection system
- data mining
- data sets
- feature selection
- detect anomalies
- anomaly based intrusion detection
- text mining
- decision trees
- learning algorithm
- neural network
- pattern classification
- support vector machine
- negative selection algorithm