Intrusion Detection on the In-Vehicle Network Using Machine Learning.
Shaila SharminHafizah MansorPublished in: CRC (2021)
Keyphrases
- intrusion detection
- network traffic
- machine learning
- network intrusion
- intrusion detection system
- intrusion prevention
- network attacks
- anomaly detection
- network security
- computer networks
- network intrusion detection
- network traffic data
- intrusion detection and prevention
- detecting anomalous
- cyber security
- data mining
- high detection rate
- information security
- computer security
- cyber attacks
- network monitoring
- normal behavior
- network intrusions
- decision trees
- traffic data
- network management
- artificial immune
- computer vision
- worm detection
- fraud detection
- supervised learning
- network intrusion detection systems
- distributed intrusion detection
- dos attacks
- learning algorithm
- feature selection
- false positives and false negatives
- data analysis
- data mining techniques
- text classification