IEEE 802.11 Network Anomaly Detection and Attack Classification: A Deep Learning Approach.
Vrizlynn L. L. ThingPublished in: WCNC (2017)
Keyphrases
- deep learning
- network anomaly detection
- unsupervised learning
- machine learning
- anomaly detection
- classification accuracy
- decision trees
- restricted boltzmann machine
- supervised learning
- support vector
- pattern recognition
- network intrusion detection
- self organizing maps
- model selection
- cost sensitive
- classification algorithm
- unsupervised feature learning
- image classification
- support vector machine
- feature vectors
- association rules
- feature extraction
- multi class
- face recognition