Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow.
Maurras Ulbricht TogbeMariam BarryAliou BolyYousra ChabchoubRaja ChikyJacob MontielVinh-Thuy TranPublished in: ICCSA (4) (2020)
Keyphrases
- anomaly detection
- data streams
- streaming data
- high dimensional data streams
- intrusion detection
- detecting anomalies
- sliding window
- anomalous behavior
- network intrusion detection
- concept drift
- network traffic
- computer security
- unsupervised anomaly detection
- data sets
- network anomaly detection
- itemsets
- behavior analysis
- detecting anomalous
- sensor data
- outlier detection
- negative selection algorithm
- detect anomalies
- intrusion detection system
- data processing
- one class support vector machines
- pattern recognition
- object recognition
- network intrusion
- probabilistic model
- malware detection
- support vector machine
- network security