Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection.
Kai Ming TingBi-Cun XuTakashi WashioZhi-Hua ZhouPublished in: KDD (2020)
Keyphrases
- anomaly detection
- kernel methods
- sparse kernel
- kernel pca
- support vector
- multiple kernel learning
- intrusion detection
- kernel function
- anomalous behavior
- detecting anomalies
- unsupervised anomaly detection
- network traffic
- co occurrence
- support vector machine
- one class support vector machines
- network intrusion detection
- kernel matrix
- detecting anomalous
- computer security
- network anomaly detection
- network security
- intrusion detection system
- unsupervised learning
- behavior analysis
- network intrusion
- machine learning
- dimensionality reduction
- high dimensional
- negative selection algorithm
- feature space
- neural network
- data warehouse