Anomaly Detection and Classification for Streaming Data using PDEs.
Bilal AbbasiJeff CalderAdam M. ObermanPublished in: SIAM J. Appl. Math. (2018)
Keyphrases
- anomaly detection
- streaming data
- intrusion detection
- concept drifting data streams
- data streams
- anomalous behavior
- network anomaly detection
- detecting anomalies
- unsupervised learning
- network intrusion detection
- network traffic
- classification accuracy
- supervised learning
- pattern recognition
- machine learning
- one class support vector machines
- concept drift
- sliding window
- decision trees
- intrusion detection system
- training set
- negative selection algorithm
- support vector
- support vector machine
- detect anomalies
- feature vectors
- text classification
- image processing
- feature space
- classification algorithm
- feature extraction
- cost sensitive
- network security
- active learning