Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks.
Ayesha S. DinaA. B. SiddiqueD. ManivannanPublished in: IEEE Access (2022)
Keyphrases
- synthetic data
- intrusion detection
- intrusion detection system
- computer networks
- data sets
- network security
- machine learning
- network traffic
- training data
- data mining techniques
- database
- computer systems
- data sources
- network intrusion detection
- knowledge discovery
- anomaly detection
- data analysis
- real image data
- real world
- decision trees
- detecting anomalous
- data points
- network intrusion
- traffic data
- learning algorithm
- reinforcement learning
- dimensionality reduction