Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection.
Majjed Al-QatfLasheng YuMohammed Al-HabibKamal Al-SabahiPublished in: IEEE Access (2018)
Keyphrases
- deep learning
- network intrusion detection
- restricted boltzmann machine
- anomaly detection
- intrusion detection
- machine learning
- unsupervised learning
- network intrusion
- support vector
- fraud detection
- unsupervised feature learning
- support vector machine
- intrusion detection system
- knn
- network traffic
- training data
- mental models
- multi class
- feature selection
- sparse representation
- probabilistic model
- weakly supervised
- training set
- semi supervised
- computer networks
- feature vectors
- pattern recognition