Feature Weighting and Classification Modeling for Network Intrusion Detection Using Machine Learning Algorithms.
Olamatanmi J. MebawonduAdebayo Olusola AdetunmbiJacob O. MebawonduOlufunso D. AlowoloduPublished in: ICTA (2020)
Keyphrases
- machine learning algorithms
- network intrusion detection
- feature weighting
- benchmark data sets
- decision trees
- machine learning
- machine learning methods
- learning algorithm
- feature weights
- machine learning approaches
- learning problems
- text classification
- intrusion detection
- machine learning models
- feature selection
- text categorization
- learning tasks
- anomaly detection
- fraud detection
- supervised machine learning algorithms
- data sets
- classification accuracy
- feature space
- feature set
- supervised learning
- support vector machine
- prior knowledge
- object recognition
- information retrieval
- data mining