A Machine Learning IDS for Known and Unknown Anomalies.
F. Aguiló-GostE. Simó-MezquitaEva Marín-TorderaA. HussainPublished in: DRCN (2022)
Keyphrases
- machine learning
- anomaly detection
- intrusion detection system
- machine learning methods
- intrusion detection
- machine learning algorithms
- computational intelligence
- text mining
- supervised learning
- real world
- inductive learning
- pattern recognition
- data analysis
- support vector machine
- model selection
- text classification
- natural language processing
- information extraction
- knowledge representation
- reinforcement learning
- decision trees
- feature selection
- computer vision
- root cause
- detect anomalies
- kernel methods
- real time
- learning systems
- semi supervised learning
- knowledge acquisition
- artificial intelligence
- genetic algorithm
- databases