Deep Q-Learning Based Reinforcement Learning Approach for Network Intrusion Detection.
Hooman AlavizadehHootan AlavizadehJulian Jang-JaccardPublished in: Comput. (2022)
Keyphrases
- network intrusion detection
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- anomaly detection
- intrusion detection
- network intrusion
- state space
- fraud detection
- model free
- artificial immune
- multi agent
- markov decision processes
- temporal difference learning
- network anomaly detection
- network traffic
- continuous state and action spaces
- optimal policy
- multi agent reinforcement learning
- stochastic approximation
- action selection
- reinforcement learning methods
- intrusion detection system
- machine learning
- temporal difference
- learning agent
- learning algorithm
- function approximators
- policy iteration
- dynamic programming
- state action
- electronic commerce
- learning process
- decision trees
- reward function
- semi supervised
- supervised learning
- continuous state spaces
- data mining techniques
- network attacks
- data mining
- data sets