Hybrid Classification Approach Using Self-Organizing Map and Back Propagation Artificial Neural Networks for Intrusion Detection.
Sadeq AlHamouzAhmad Adel Abu SharehaPublished in: DeSE (2017)
Keyphrases
- back propagation
- intrusion detection
- artificial neural networks
- self organizing maps
- neural network
- learning vector quantization
- probabilistic neural network
- feed forward
- som neural network
- anomaly detection
- feed forward neural networks
- intrusion detection system
- unsupervised learning
- training algorithm
- bp algorithm
- hidden layer
- fuzzy logic
- bp neural network
- multi layer perceptron
- machine learning
- network intrusion detection
- pattern recognition
- activation function
- multilayer perceptron
- data mining
- feature maps
- pattern classification
- input data
- learning algorithm
- decision trees
- computational intelligence
- feature space
- feature selection
- recurrent neural networks
- misuse detection
- text classification
- classification accuracy
- feature vectors
- generalization ability
- fuzzy sets
- alert correlation
- neural network model
- fault diagnosis
- computer vision
- data mining techniques
- data analysis
- expert systems