Convergence Optimization of Backpropagation Artificial Neural Network Used for Dichotomous Classification of Intrusion Detection Dataset.
Ivan HomoliakDominik BreitenbacherPetr HanácekPublished in: J. Comput. (2017)
Keyphrases
- intrusion detection
- back propagation
- artificial neural networks
- neural network
- nsl kdd
- intrusion detection system
- feed forward
- anomaly detection
- backpropagation neural network
- network security
- multilayer perceptron neural network
- feed forward neural networks
- bp algorithm
- hidden layer
- bp neural network
- backpropagation neural networks
- network traffic
- training algorithm
- network intrusion detection
- weight update
- neural nets
- fuzzy logic
- multilayer perceptron
- levenberg marquardt
- pattern recognition
- activation function
- outlier mining
- feedforward neural networks
- decision trees
- detecting anomalous
- unsupervised learning
- support vector machine
- multi layer perceptron
- support vector machine svm
- classification accuracy
- network attacks
- network intrusions
- neural network model
- alert correlation
- supervised learning
- training set
- feature space
- feature selection
- convergence rate
- fuzzy rules
- data mining techniques
- active learning
- high dimensional
- expert systems
- support vector
- machine learning
- real world