Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data.
Nathan MartindaleMuhammad IsmailDouglas A. TalbertPublished in: Inf. (2020)
Keyphrases
- machine learning algorithms
- streaming data
- random forests
- learning algorithm
- network intrusion detection systems
- data streams
- benchmark data sets
- concept drifting data streams
- decision trees
- evolving data streams
- concept drift
- sliding window
- machine learning methods
- machine learning
- ensemble learning
- intrusion detection system
- intrusion detection
- anomaly detection
- concept drifting
- machine learning models
- network intrusion
- ensemble methods
- data distribution
- learning tasks
- stream data
- neural network
- training data
- meta learning
- reinforcement learning
- classifier ensemble
- data mining