Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic.
Christoph HardegenBenedikt PfülbSebastian RiegerAlexander GepperthSven ReißmannPublished in: CNSM (2019)
Keyphrases
- network traffic
- deep learning
- real world
- intrusion detection
- traffic patterns
- unsupervised feature learning
- anomaly detection
- machine learning
- unsupervised learning
- network bandwidth
- traffic data
- intrusion detection system
- mental models
- response time
- weakly supervised
- network resources
- data sets
- decision trees
- graphical models
- multi class
- learning strategies
- relation extraction
- data mining