Feature Selection and Intrusion Detection in Cloud Environment Based on Machine Learning Algorithms.
Amir JavadpourSanaz Kazemi AbharianGuojun WangPublished in: ISPA/IUCC (2017)
Keyphrases
- machine learning algorithms
- intrusion detection
- feature selection
- machine learning
- input features
- intrusion detection system
- benchmark data sets
- learning algorithm
- anomaly detection
- network intrusion detection
- decision trees
- machine learning methods
- statistical machine learning
- network traffic
- learning problems
- high detection rate
- text categorization
- network security
- detecting anomalous
- data mining
- machine learning approaches
- information security
- feature space
- feature set
- network intrusion
- classification accuracy
- learning tasks
- artificial immune
- machine learning models
- information gain
- intrusion prevention
- alert correlation
- multi class
- dimensionality reduction
- data mining techniques
- text classification
- learning models
- classification models
- feature subset
- active learning
- computer networks
- network attacks
- network intrusion detection systems
- standard machine learning algorithms
- fraud detection
- selected features
- semi supervised
- ensemble methods
- unsupervised learning
- naive bayes