Network Abnormal Traffic Detection Model Based on Semi-Supervised Deep Reinforcement Learning.
Shi DongYuanjun XiaTao PengPublished in: IEEE Trans. Netw. Serv. Manag. (2021)
Keyphrases
- network traffic
- reinforcement learning
- semi supervised
- anomaly detection
- network resources
- worm detection
- model free
- traffic analysis
- normal traffic
- detect anomalies
- internet traffic
- traffic load
- false alarms
- computer networks
- transportation networks
- origin destination
- intrusion detection
- traffic data
- atm networks
- network structure
- multi view
- network conditions
- abnormal events
- traffic volume
- active learning
- state space
- object detection
- traffic flow
- network security
- labeled data
- traffic patterns
- semi supervised learning
- high speed networks
- abnormal behavior
- mesh network
- internet service providers
- peer to peer
- network devices
- learning process
- detection algorithm
- resource utilization
- pairwise
- network layer
- function approximation
- traffic light
- packet loss
- learning algorithm
- telecommunication networks