Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network.
Takuya KuwaharaYukino BabaHisashi KashimaTakeshi KishikawaJun'ichi TsurumiTomoyuki HagaYoshihiro UjiieTakamitsu SasakiHideki MatsushimaPublished in: J. Inf. Process. (2018)
Keyphrases
- intrusion detection
- network traffic
- network intrusion
- intrusion detection system
- network attacks
- intrusion prevention
- network security
- anomaly detection
- network traffic data
- network intrusion detection
- computer networks
- unsupervised learning
- semi supervised
- supervised learning
- intrusion detection and prevention
- high detection rate
- unsupervised anomaly detection
- detecting anomalous
- network intrusion detection systems
- computer security
- information security
- data mining techniques
- network intrusions
- cyber attacks
- data mining
- artificial immune
- communication networks
- learning algorithm
- alert correlation
- worm detection
- normal behavior
- network monitoring
- cyber security
- active learning
- training data
- data sets
- distributed intrusion detection
- dos attacks
- fraud detection
- knowledge discovery
- machine learning
- real world