Probabilistic state estimation for labeled continuous time Markov models with applications to attack detection.
Dimitri LefebvreCarla SeatzuChristoforos N. HadjicostisAlessandro GiuaPublished in: Discret. Event Dyn. Syst. (2022)
Keyphrases
- undirected graph
- markov models
- state estimation
- attack detection
- multistage
- kalman filter
- visual tracking
- kalman filtering
- particle filter
- dynamic systems
- particle filtering
- intrusion detection system
- markov chain
- generative model
- training data
- dynamical systems
- state space
- supervised learning
- video sequences
- cyber attacks
- statistical model
- conditional random fields
- text categorization
- semi supervised
- information extraction
- probabilistic model
- hidden markov models
- training set
- bayesian networks