A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System.
Ying-Feng HsuMorito MatsuokaPublished in: CloudNet (2020)
Keyphrases
- reinforcement learning
- anomaly detection
- function approximation
- state space
- reinforcement learning algorithms
- network traffic
- model free
- anomalous behavior
- multi agent
- dynamic programming
- control problems
- learning problems
- markov decision processes
- optimal policy
- machine learning
- detecting anomalies
- learning algorithm
- temporal difference
- robotic control
- temporal difference learning
- policy search
- intrusion detection system
- learning capabilities
- real time
- learning process
- objective function
- information systems
- neural network