Runtime Anomaly Detection in Embedded Systems by Binary Tracing and Hidden Markov Models.
Alfredo CuzzocreaEnzo MumoloRiccardo CecolinPublished in: COMPSAC (2015)
Keyphrases
- hidden markov models
- anomaly detection
- embedded systems
- intrusion detection
- low cost
- network intrusion detection
- network traffic
- detecting anomalies
- conditional random fields
- anomalous behavior
- software systems
- sequential data
- intrusion detection system
- unsupervised learning
- baum welch
- one class support vector machines
- network security
- abnormal activity
- detect anomalies