A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees.
Armstrong AboahMaged ShomanVishal MandalSayedomidreza DavamiYaw Adu-GyamfiAnuj SharmaPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- deep learning
- network traffic
- decision trees
- unsupervised learning
- machine learning
- detect anomalies
- intrusion detection
- detecting anomalies
- network intrusion detection
- normal traffic
- intrusion detection system
- network anomaly detection
- network security
- anomalous behavior
- mental models
- one class support vector machines
- semi supervised
- training set
- weakly supervised
- training data
- computer vision
- data mining
- real world
- data sets
- model selection
- active learning