Efficiency of Different Machine Learning Algorithms on the Multivariate Classification of IoT Botnet Attacks.
Shreehar JoshiEman AbdelfattahPublished in: UEMCON (2020)
Keyphrases
- machine learning algorithms
- benchmark data sets
- decision trees
- machine learning methods
- machine learning
- learning algorithm
- predictive accuracy
- machine learning approaches
- learning problems
- input features
- random forests
- machine learning models
- multiclass classification
- supervised learning algorithms
- machine learning systems
- denial of service attacks
- learning tasks
- data sets
- standard machine learning algorithms
- peer to peer
- active learning
- intrusion detection
- ensemble methods
- learning models
- text classification
- classification accuracy
- training set
- feature space
- feature extraction
- feature selection
- supervised machine learning algorithms