HIL Testbed-based Auto Feature Extraction and Data Generation Framework for ML/DL-based Anomaly Detection and Classification.
Aditya Akilesh ManthaArif HussainGelli RavikumarPublished in: ISGT (2024)
Keyphrases
- anomaly detection
- feature extraction
- data generation
- intrusion detection
- pattern recognition
- unsupervised learning
- feature vectors
- pattern classification
- detecting anomalies
- network traffic
- machine learning
- network intrusion detection
- intrusion detection system
- feature selection
- streaming data
- feature set
- classification accuracy
- maximum likelihood
- anomalous behavior
- classification algorithm
- text classification
- support vector machine
- probabilistic model
- feature space
- image processing
- network anomaly detection