Feature selection and deep learning approach for anomaly network intrusion detection.
Khadidja BennaceurZakaria SahraouiMohamed Ahmad NacerPublished in: Int. J. Inf. Comput. Secur. (2024)
Keyphrases
- network intrusion detection
- deep learning
- anomaly detection
- unsupervised learning
- feature selection
- intrusion detection
- anomaly based intrusion detection
- machine learning
- network traffic
- network intrusion
- intrusion detection system
- unsupervised feature learning
- dimensionality reduction
- text classification
- supervised learning
- multi class
- model selection
- text categorization
- feature extraction
- classification accuracy
- pattern recognition
- support vector
- mental models
- object recognition
- naive bayes
- support vector machine
- feature space
- feature set
- fraud detection
- information retrieval
- training data
- data mining
- computer networks
- expectation maximization
- real world
- text mining