RBDT: The Cascading of Machine Learning Classifiers for Anomaly Detection with Case Study of Two Datasets.
Goverdhan Reddy JidigaPorika SammulalPublished in: ISI (1) (2014)
Keyphrases
- anomaly detection
- machine learning
- case study
- one class support vector machines
- generation process
- machine learning algorithms
- machine learning methods
- decision trees
- network anomaly detection
- detecting anomalies
- intrusion detection
- training data
- anomalous behavior
- network traffic
- feature selection
- network intrusion detection
- unsupervised anomaly detection
- intrusion detection system
- unsupervised learning
- learning algorithm
- naive bayes
- detect anomalies
- natural language processing
- network security
- pattern recognition
- real world
- training set
- text classification
- behavior analysis
- negative selection algorithm
- reinforcement learning
- support vector
- computer security
- data analysis
- feature space
- support vector machine
- multi class
- supervised learning
- text mining