Machine Learning for NetFlow Anomaly Detection With Human-Readable Annotations.
Prashanth KrishnamurthyFarshad KhorramiSteve SchmidtKevin WrightPublished in: IEEE Trans. Netw. Serv. Manag. (2021)
Keyphrases
- anomaly detection
- human readable
- meta information
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- metadata
- anomalous behavior
- unsupervised learning
- network traffic
- learning algorithm
- novelty detection
- intrusion detection system
- data mining
- semantic content
- data sources
- supervised learning
- knowledge discovery
- data analysis
- detect anomalies
- reinforcement learning
- one class support vector machines
- negative selection algorithm
- model selection
- information extraction
- active learning
- pairwise
- keywords
- data sets