M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning.
Anil V. TurukmaneRamkumar DevendiranPublished in: Comput. Secur. (2024)
Keyphrases
- feature selection
- machine learning
- text classification
- machine learning methods
- learning algorithm
- artificial intelligence
- feature engineering
- feature generation
- machine learning algorithms
- unsupervised learning
- support vector machine
- multi class
- method for feature selection
- data mining
- discriminative features
- dimensionality reduction
- reinforcement learning
- support vector
- computationally efficient
- feature selection algorithms
- inductive learning
- information extraction
- feature weighting
- model selection
- irrelevant features
- feature extraction
- natural language processing
- small sample
- feature subset
- feature ranking
- feature construction
- similarity measure
- explanation based learning
- computer vision
- multi task
- information gain
- learning problems
- learning tasks
- intrusion detection system
- computer science
- active learning
- knowledge discovery
- mutual information
- knn
- computational intelligence
- supervised learning