STAD: State-Transition-Aware Anomaly Detection Under Concept Drifts.
Bin LiEmmanuel MüllerPublished in: OLUD@WCCI (2022)
Keyphrases
- anomaly detection
- state transition
- concept drift
- streaming data
- input output
- state transitions
- state space
- intrusion detection
- data streams
- black box
- hidden markov models
- network traffic
- detecting anomalies
- finite state machines
- markov chain
- anomalous behavior
- network anomaly detection
- probability distribution
- change detection
- data distribution
- non stationary
- unsupervised learning
- intrusion detection system
- network intrusion detection
- classification algorithm
- detect anomalies
- dynamic programming
- reinforcement learning
- negative selection algorithm
- databases
- sliding window
- pattern recognition
- image segmentation
- learning algorithm
- machine learning