Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams.
Xiaohui ZhouYijie WangHongzuo XuMingyu LiuPublished in: ICASSP (2024)
Keyphrases
- anomaly detection
- active learning
- data streams
- streaming data
- detect anomalies
- intrusion detection
- high dimensional data streams
- sliding window
- anomalous behavior
- detecting anomalies
- network intrusion detection
- concept drift
- unsupervised anomaly detection
- computer security
- network traffic
- semi supervised
- learning algorithm
- one class support vector machines
- machine learning
- intrusion detection system
- network anomaly detection
- behavior analysis
- unsupervised learning
- data sets
- itemsets
- network security
- network intrusion
- pairwise
- outlier detection
- malware detection
- supervised learning
- learning process
- negative selection algorithm
- detecting anomalous