Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection.
Tommaso ZoppiAndrea CeccarelliPublished in: CoRR (2022)
Keyphrases
- intrusion detection
- unsupervised learning
- unsupervised methods
- semi supervised
- supervised learning
- anomaly detection
- intrusion detection system
- unsupervised anomaly detection
- network intrusion detection
- network security
- network traffic
- high detection rate
- detecting anomalous
- information security
- machine learning
- false positives and false negatives
- learning algorithm
- cyber security
- network intrusion
- artificial immune
- network intrusion detection systems
- computer security
- normal behavior
- network attacks
- credit card fraud detection
- feature selection
- object recognition
- computer networks
- data sets
- data mining techniques
- data analysis
- high dimensional
- active learning
- dimensionality reduction