Feature Selection for Anomaly Detection in Vehicular Ad Hoc Networks.
Van Huynh LeJerry den HartogNicola ZannonePublished in: ICETE (1) (2018)
Keyphrases
- anomaly detection
- vehicular ad hoc networks
- feature selection
- intrusion detection
- anomalous behavior
- network traffic
- sparse pca
- detecting anomalies
- intrusion detection system
- data dissemination
- unsupervised learning
- routing protocol
- feature space
- network intrusion detection
- machine learning
- network anomaly detection
- support vector machine
- support vector
- detecting anomalous
- text classification
- cumulative sum
- model selection
- object recognition
- knn
- hidden markov models
- reinforcement learning
- feature extraction
- data mining