Feature Engineering for Deep Learning-Based Anomaly Detection in 5G and Beyond.
Taras MaksymyukNazarii LutsivBohdan ShubynJuraj GazdaOrest IvakhivPublished in: IDAACS (2023)
Keyphrases
- deep learning
- anomaly detection
- feature engineering
- machine learning
- unsupervised learning
- text classification
- dependency parsing
- labeled data
- intrusion detection
- detecting anomalies
- natural language processing
- network intrusion detection
- semi supervised
- supervised learning
- anomalous behavior
- network traffic
- intrusion detection system
- knowledge discovery
- mental models
- one class support vector machines
- data analysis
- negative selection algorithm
- detect anomalies
- real world
- normal behavior
- speech processing
- weakly supervised
- named entities
- dimensionality reduction
- training data
- artificial intelligence