Evaluation of anomaly detection for in-vehicle networks through information-theoretic algorithms.
Mirco MarchettiDario StabiliAlessandro GuidoMichele ColajanniPublished in: RTSI (2016)
Keyphrases
- information theoretic
- anomaly detection
- mutual information
- information theory
- intrusion detection
- one class support vector machines
- information theoretic measures
- intrusion detection system
- anomalous behavior
- network traffic
- detecting anomalies
- bregman divergences
- network intrusion detection
- theoretic framework
- network anomaly detection
- learning algorithm
- kullback leibler divergence
- information bottleneck
- network security
- network structure
- unsupervised learning
- multi class
- association rules