MSTAD: A masked subspace-like transformer for multi-class anomaly detection.
Borui KangYuzhong ZhongZhimin SunLin DengMaoning WangJianwei ZhangPublished in: Knowl. Based Syst. (2024)
Keyphrases
- multi class
- anomaly detection
- intrusion detection
- detecting anomalies
- binary classification
- network intrusion detection
- anomalous behavior
- support vector machine
- cost sensitive
- feature space
- network traffic
- principal component analysis
- pairwise
- binary classifiers
- multi class classification
- multi class classifier
- network anomaly detection
- intrusion detection system
- high dimensional data
- unsupervised learning
- multiple classes
- one class support vector machines
- high dimensional
- detect anomalies
- feature selection
- negative selection algorithm
- neural network
- dimensionality reduction
- error correcting output codes
- feature extraction