Towards a Hierarchical Deep Learning Approach for Intrusion Detection.
François AlinAmine ChemchemFlorent NolotOlivier FlauzacMichaël KrajeckiPublished in: MLN (2019)
Keyphrases
- intrusion detection
- deep learning
- unsupervised learning
- anomaly detection
- restricted boltzmann machine
- intrusion detection system
- high detection rate
- network traffic
- deep belief networks
- unsupervised feature learning
- network security
- network intrusion detection
- machine learning
- weakly supervised
- data mining
- network intrusion
- detecting anomalous
- data mining techniques
- mental models
- feature selection
- alert correlation
- face detection
- computer systems
- semi supervised
- support vector
- training data