An Efficient Approach Based on Parameter Optimization for Network Traffic Classification Using Machine Learning.
James Msughter AdekeJinfu ChenLei ZhangRichard N. K. MensahKun TongPublished in: DSA (2020)
Keyphrases
- network traffic
- machine learning
- parameter optimization
- support vector machine
- pattern recognition
- intrusion detection
- anomaly detection
- text classification
- feature selection
- decision trees
- intrusion detection system
- feature extraction
- support vector
- feature vectors
- data mining
- model selection
- supervised learning
- training set
- feature space
- support vector machine svm
- genetic algorithm ga
- active learning
- differential evolution
- computer vision
- data sets
- knn
- particle swarm optimization
- unsupervised learning
- genetic algorithm
- incremental learning
- network intrusion detection
- learning algorithm