Anomaly Detection and Classification using Distributed Tracing and Deep Learning.
Sasho NedelkoskiJorge CardosoOdej KaoPublished in: CCGRID (2019)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- machine learning
- network intrusion detection
- anomalous behavior
- supervised learning
- detecting anomalies
- network traffic
- network anomaly detection
- feature selection
- intrusion detection system
- support vector
- one class support vector machines
- feature vectors
- real world
- text classification
- negative selection algorithm
- support vector machine
- pattern recognition
- training set
- decision trees
- model selection
- active learning
- pairwise
- feature space
- bayesian networks
- training data
- image processing
- learning algorithm
- data mining
- data sets