An Intrusion Detection Model Based on Feature Reduction and Convolutional Neural Networks.
Yihan XiaoCheng XingTaining ZhangZhongkai ZhaoPublished in: IEEE Access (2019)
Keyphrases
- intrusion detection
- convolutional neural networks
- feature reduction
- intrusion detection system
- rough sets
- anomaly detection
- text categorization
- network security
- feature set
- network traffic
- feature selection
- knn
- network intrusion detection
- classification accuracy
- reduction method
- random forest
- linear discriminant analysis
- k nearest neighbor
- viterbi algorithm
- alert correlation
- network attacks
- rough set theory
- data mining
- text classification
- texture segmentation
- data mining techniques
- principal component analysis
- hidden markov models
- detecting anomalous
- support vector machine
- multiresolution
- high dimensional
- neural network
- intrusion prevention