An Anomaly Detection System Based on Clustering and Fuzzy Set Theory in VANETs.
Marjan Kuchaki RafsanjaniHamideh FatemidokhtValentina Emilia BalasRanbir Singh BatthPublished in: SOFA (2) (2018)
Keyphrases
- anomaly detection
- fuzzy set theory
- fuzzy sets
- fuzzy logic
- intrusion detection
- detecting anomalies
- rough set theory
- anomalous behavior
- network intrusion detection
- unsupervised learning
- clustering analysis
- network traffic
- intrusion detection system
- interval valued fuzzy sets
- network anomaly detection
- detecting anomalous
- rough sets
- one class support vector machines
- detect anomalies
- clustering algorithm
- fuzzy numbers
- artificial intelligence
- image processing
- neural network
- real world
- information retrieval
- learning algorithm
- decision trees
- k means
- membership functions
- self organizing maps
- control system
- computational intelligence