Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection.
Hooman AlavizadehJulian Jang-JaccardHootan AlavizadehPublished in: CoRR (2021)
Keyphrases
- network intrusion detection
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- intrusion detection
- anomaly detection
- network intrusion
- model free
- state space
- fraud detection
- multi agent reinforcement learning
- optimal policy
- action selection
- temporal difference learning
- learning algorithm
- artificial immune
- network anomaly detection
- continuous state and action spaces
- intrusion detection system
- network traffic
- rl algorithms
- temporal difference
- reinforcement learning methods
- markov decision processes
- dynamic programming
- multi agent
- stochastic approximation
- machine learning
- relational reinforcement learning
- agent learns
- network intrusions
- state action
- supervised learning
- function approximators
- continuous state spaces
- learning agent
- policy iteration
- reward function
- network attacks
- probabilistic model
- feature selection
- real world