Active learning approach to label network traffic datasets.
Jorge L. GuerraCarlos Adrián CataniaEduardo E. VeasPublished in: J. Inf. Secur. Appl. (2019)
Keyphrases
- network traffic
- active learning
- network traffic data
- intrusion detection
- anomaly detection
- computer networks
- intrusion detection system
- network security
- traffic data
- active learning framework
- network intrusion detection
- network management
- internet traffic
- network monitoring
- traffic analysis
- network resources
- traffic volume
- network bandwidth
- training set
- multi label
- supervised learning
- semi supervised
- data sets
- long range dependence
- unsupervised learning
- data warehouse
- machine learning
- real world