An Association Rules-Based Approach for Anomaly Detection on CAN-bus.
Gianni D'AngeloMassimo FiccoAntonio RobustelliPublished in: ICCSA (Workshops 2) (2023)
Keyphrases
- anomaly detection
- association rules
- intrusion detection
- association rule mining
- detecting anomalies
- data mining
- anomalous behavior
- network intrusion detection
- network traffic
- unsupervised anomaly detection
- network anomaly detection
- detect anomalies
- intrusion detection system
- behavior analysis
- unsupervised learning
- detecting anomalous
- one class support vector machines
- malware detection
- computer security
- knowledge discovery
- frequent patterns
- network security
- frequent itemsets
- itemsets
- data mining techniques
- negative selection algorithm
- probabilistic model
- evolutionary algorithm
- object recognition
- action recognition
- data assimilation
- misuse detection
- cumulative sum
- computer vision