Autoencoding Binary Classifiers for Supervised Anomaly Detection.
Yuki YamanakaTomoharu IwataHiroshi TakahashiMasanori YamadaSekitoshi KanaiPublished in: PRICAI (2) (2019)
Keyphrases
- anomaly detection
- binary classifiers
- multi class
- unsupervised learning
- binary classification
- intrusion detection
- multi class classification
- detecting anomalies
- cross validation
- network intrusion detection
- training samples
- svm classifier
- network traffic
- semi supervised
- feature selection
- anomalous behavior
- supervised learning
- hyperplane
- intrusion detection system
- one class support vector machines
- learning algorithm
- cost sensitive
- feature extraction
- detect anomalies
- support vector machine
- similarity measure
- prediction accuracy
- support vector
- training data
- computer vision
- neural network