Feature Selection and Intrusion Detection in Cloud Environment based on Machine Learning Algorithms.
Amir JavadpourSanaz Kazemi AbharianGuojun WangPublished in: CoRR (2020)
Keyphrases
- machine learning algorithms
- intrusion detection
- feature selection
- machine learning
- input features
- benchmark data sets
- intrusion detection system
- learning algorithm
- anomaly detection
- network security
- learning problems
- machine learning methods
- decision trees
- network traffic
- learning tasks
- high detection rate
- network intrusion detection
- text categorization
- data mining
- machine learning approaches
- data mining techniques
- artificial immune
- statistical machine learning
- model selection
- machine learning models
- text classification
- feature space
- feature extraction
- information security
- dimensionality reduction
- network intrusion
- alert correlation
- information gain
- naive bayes
- multi class
- classification accuracy
- support vector
- classification models
- learning models
- feature set
- text mining
- support vector machine
- standard machine learning algorithms
- computer networks
- unsupervised learning
- active learning
- pairwise