Memory-efficient anomaly detection for online data streams.
Shiming HeChenxi GuoPublished in: CSCWD (2024)
Keyphrases
- anomaly detection
- memory efficient
- data streams
- streaming data
- intrusion detection
- high dimensional data streams
- anomalous behavior
- detecting anomalies
- network intrusion detection
- sliding window
- intrusion detection system
- network traffic
- behavior analysis
- negative selection algorithm
- network anomaly detection
- computer security
- data sets
- one class support vector machines
- unsupervised learning
- neural network
- network security
- detecting anomalous
- unsupervised anomaly detection
- network intrusion
- connectionist systems
- machine learning
- concept drift
- genetic algorithm
- model selection