RL-Sketch: Scaling Reinforcement Learning for Adaptive and Automate Anomaly Detection in Network Data Streams.
Zhengyan ZhouDong ZhangXiaoyan HongPublished in: LCN (2019)
Keyphrases
- anomaly detection
- reinforcement learning
- network traffic
- network anomaly detection
- data streams
- intrusion detection
- streaming data
- network intrusion
- detect anomalies
- network intrusion detection
- anomalous behavior
- function approximation
- high dimensional data streams
- unsupervised learning
- detecting anomalies
- unsupervised anomaly detection
- model free
- intrusion detection system
- network security
- adaptive control
- state space
- optimal policy
- markov decision processes
- detecting anomalous
- reinforcement learning algorithms
- sliding window
- negative selection algorithm
- data sets
- rl algorithms
- action space
- one class support vector machines
- temporal difference
- normal behavior
- supervised learning
- connectionist systems
- intrusion prevention
- learning process
- actor critic
- support vector machine
- transfer learning
- learning algorithm