A soft actor-critic reinforcement learning algorithm for network intrusion detection.
Zhengfa LiChuanhe HuangShuhua DengWanyu QiuXieping GaoPublished in: Comput. Secur. (2023)
Keyphrases
- network intrusion detection
- actor critic
- reinforcement learning
- optimal control
- intrusion detection
- policy gradient
- temporal difference
- approximate dynamic programming
- anomaly detection
- neuro fuzzy
- gradient method
- policy iteration
- intrusion detection system
- function approximation
- fraud detection
- reinforcement learning algorithms
- network traffic
- markov decision processes
- average reward
- fixed point
- state space
- dynamic programming
- learning algorithm
- least squares
- data mining
- recursive least squares
- knowledge discovery