An Intrusion Detection System for Imbalanced Dataset Based on Deep Learning.
Mariama MbowHiroshi KoideKouichi SakuraiPublished in: CANDAR (2021)
Keyphrases
- deep learning
- intrusion detection system
- imbalanced datasets
- intrusion detection
- cost sensitive learning
- class distribution
- anomaly detection
- unsupervised learning
- decision trees
- class imbalance
- sampling methods
- distributed intrusion detection
- machine learning
- ensemble methods
- computer systems
- training dataset
- weakly supervised
- mental models
- multi class
- fraud detection
- cost sensitive
- active learning
- object recognition
- object detection
- training set
- data streams
- training data
- computer vision