A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection.
Jeremy WattsFranco van WykShahrbanoo RezaeiYiyang WangNeda MasoudAnahita KhojandiPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- anomaly detection
- bayesian framework
- reinforcement learning
- intrusion detection
- prior knowledge
- network intrusion detection
- generative model
- posterior probability
- intrusion detection system
- anomalous behavior
- detecting anomalies
- network traffic
- network anomaly detection
- gaussian process
- one class support vector machines
- posterior distribution
- bayesian formulation
- unsupervised anomaly detection
- network security
- connectionist systems
- maximum a posteriori
- unsupervised learning
- detect anomalies
- training data
- negative selection algorithm
- cumulative sum
- state space
- learning process
- image sequences
- machine learning
- detecting anomalous
- data sets