LIO-IDS: Handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system.
Neha GuptaVinita JindalPunam BediPublished in: Comput. Networks (2021)
Keyphrases
- intrusion detection system
- class imbalance
- intrusion detection
- anomaly detection
- network security
- distributed intrusion detection
- active learning
- class distribution
- network traffic
- cost sensitive
- network intrusion detection
- computer systems
- attack detection
- sampling methods
- network intrusion detection systems
- high dimensionality
- feature selection
- concept drift
- training data
- minority class
- normal behavior
- data mining
- data mining techniques
- alert correlation
- misuse detection
- unsupervised learning
- labeled data